Job Description Company Overview The Company is a global manufacturer and supplier of electrical equipment and products, is looking to establish its presence in the North American market under its own brand name. Responsibilities Serve as the primary contact for ERP, Ext. ERP, and other business applications. Support day-to-day operations and troubleshooting of ERP and related business systems. Coordinate with business users and Corporate IT to resolve system issues and requests. Monitor system performance and support stable operation of business applications. Plan and implement ERP, Ext. ERP, and business application improvements, upgrades, and new functionality in coordination with Corporate IT. Manage IT projects related to business process improvement, system integration, and data interfaces. Support testing, implementation, and stabilization of new systems and functionality. Document system changes, issues, and solutions for future reference. Act as the primary communication point between business departments and Corporate IT. Collect and analyze business requirements related to ERP, Ext. ERP, and other business applications and coordinate them with Corporate IT. Coordinate system issues, enhancement requests, and project requirements between business departments and Corporate IT. Track and communicate the progress of system-related requests and projects. Ensure alignment with company-wide IT standards, policies, and cybersecurity requirements. Maintain system security and user access management. Enforce corporate cybersecurity policies and standards. Ensure compliance with internal and external audit requirements. Support ISO 27001 and other cybersecurity-related audits. Identify opportunities to improve business processes through ERP, Ext. ERP, and other IT systems. Support digitalization, automation, data integration, and reporting initiatives. Provide training and guidance to employees on ERP and other business applications. Continuously improve ERP and related business applications based on business requirements. Requirements Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. 5+ years of IT experience, preferably supporting ERP and business applications. Experience in a corporate or sales organization is preferred. Strong understanding of ERP, Ext. ERP, and related business applications. Experience with system integration, data interfaces, and application support. Knowledge of general IT infrastructure and end-user support. Understanding of cybersecurity and IT compliance requirements. Ability to serve as the primary IT contact for ERP, Ext. ERP, and business applications. Bilingual in Korean and English is required.
11/14/2026
Full time
Job Description Company Overview The Company is a global manufacturer and supplier of electrical equipment and products, is looking to establish its presence in the North American market under its own brand name. Responsibilities Serve as the primary contact for ERP, Ext. ERP, and other business applications. Support day-to-day operations and troubleshooting of ERP and related business systems. Coordinate with business users and Corporate IT to resolve system issues and requests. Monitor system performance and support stable operation of business applications. Plan and implement ERP, Ext. ERP, and business application improvements, upgrades, and new functionality in coordination with Corporate IT. Manage IT projects related to business process improvement, system integration, and data interfaces. Support testing, implementation, and stabilization of new systems and functionality. Document system changes, issues, and solutions for future reference. Act as the primary communication point between business departments and Corporate IT. Collect and analyze business requirements related to ERP, Ext. ERP, and other business applications and coordinate them with Corporate IT. Coordinate system issues, enhancement requests, and project requirements between business departments and Corporate IT. Track and communicate the progress of system-related requests and projects. Ensure alignment with company-wide IT standards, policies, and cybersecurity requirements. Maintain system security and user access management. Enforce corporate cybersecurity policies and standards. Ensure compliance with internal and external audit requirements. Support ISO 27001 and other cybersecurity-related audits. Identify opportunities to improve business processes through ERP, Ext. ERP, and other IT systems. Support digitalization, automation, data integration, and reporting initiatives. Provide training and guidance to employees on ERP and other business applications. Continuously improve ERP and related business applications based on business requirements. Requirements Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. 5+ years of IT experience, preferably supporting ERP and business applications. Experience in a corporate or sales organization is preferred. Strong understanding of ERP, Ext. ERP, and related business applications. Experience with system integration, data interfaces, and application support. Knowledge of general IT infrastructure and end-user support. Understanding of cybersecurity and IT compliance requirements. Ability to serve as the primary IT contact for ERP, Ext. ERP, and business applications. Bilingual in Korean and English is required.
Project Engineer - Turnkey Automation - Johnson City, TN Automation Engineer Controls Designer PLCs Programmable Logic Controllers Programmer Integration HMIs Human Machine Interfaces Robots Motors Sensors Actuators Linear & Rotary Motion Control Machine Vision Electronics AC & DC Electrical Power Servos Industrial Manufacturing Machinery_ . REMOTE WORK FROM HOME AVAILABLE Join a company specializing in developing custom automation solutions for customers making electronic devices, pharmaceuticals, and medical devices. Lead projects from inception through conclusion and oversee all aspects from project planning to commissioning. Objectives: • Take charge of projects and oversee strategy development, scheduling, budget planning, pricing, timelines, problem resolution, VOC engagement, resource planning, implementation, and post-completion support. • Manage customer and regulatory agency interactions and act as the interface between company executive management and external customers. • Keep project on schedule and develop corrective and preventive action plans to resolve conflicts, quality issues, and cost overruns. Potential to hire at a Senior Project Manager level depending on experience. Competitive salary, full benefits, flexible spending account, 401(k) with company match, short and long-term disability coverage, paid holidays, vacations, personal days, and more! Join a company that has a history of success in the industry and has a team of career oriented professionals who believe in what they do. For details contact Nicholas Owens at: ext 240 Or submit resume online at: Or email to: Please reference when responding. Diedre Moire Corporation Diedre Moire Corporation, Inc. WE ARE AN EQUAL OPPORTUNITY EMPLOYER and our employment decisions are made without regard to race, color, religion, age, sex, national origin, handicap, disability or marital status. We reasonably accommodate individuals with handicaps, disabilities and bona fide religious beliefs. Jobs Career Position Hiring. CONSIDERED EXPERIENCE INCLUDES: Automation Engineer Controls Designer PLCs Programmable Logic Controllers Programmer Integration HMIs Human Machine Interfaces Robots Motors Sensors Actuators Linear & Rotary Motion Control Machine Vision Electronics AC & DC Electrical Power Servos Industrial Manufacturing Machinery DISCLAIMER: We will make every effort to consider applications for all available positions and shall use one or more of the contact methods and addresses indicated in resume or online application. Indicated location may be proximate or may be desirable point of embarkation for paid or unpaid relocation to another venue. Job descriptions may fit single or multiple presently available or anticipated positions and are NOT an offer of employment or contract implied or otherwise. Described compensation is not definite nor precise and may be estimated and approximate and is negotiable depending on market conditions and candidate availability and other factors and is solely at the discretion of employers. Linguistics used herein may use First Person Singular and First Person Plural grammatical person construction for and with the meaning of Third Person Singular and Third Person Plural references. We reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Response to a specific posting or advertisement may result in consideration for other opportunities and not necessarily the incentive or basis of the response. Nothing herein is or may be considered a promise, guarantee, offer, pledge, agreement, contract, or oath. If you submit an application or resume which contains your email address, we will use that email address to communicate with you about this and other positions. We use an email quality control service to maintain security and a remove and dead address filter. To cancel receiving email communications, simply send an email from your address with the word remove" in the subject line to Or, visit the website at . If you have further concern regarding email received from us, call .
11/14/2026
Full time
Project Engineer - Turnkey Automation - Johnson City, TN Automation Engineer Controls Designer PLCs Programmable Logic Controllers Programmer Integration HMIs Human Machine Interfaces Robots Motors Sensors Actuators Linear & Rotary Motion Control Machine Vision Electronics AC & DC Electrical Power Servos Industrial Manufacturing Machinery_ . REMOTE WORK FROM HOME AVAILABLE Join a company specializing in developing custom automation solutions for customers making electronic devices, pharmaceuticals, and medical devices. Lead projects from inception through conclusion and oversee all aspects from project planning to commissioning. Objectives: • Take charge of projects and oversee strategy development, scheduling, budget planning, pricing, timelines, problem resolution, VOC engagement, resource planning, implementation, and post-completion support. • Manage customer and regulatory agency interactions and act as the interface between company executive management and external customers. • Keep project on schedule and develop corrective and preventive action plans to resolve conflicts, quality issues, and cost overruns. Potential to hire at a Senior Project Manager level depending on experience. Competitive salary, full benefits, flexible spending account, 401(k) with company match, short and long-term disability coverage, paid holidays, vacations, personal days, and more! Join a company that has a history of success in the industry and has a team of career oriented professionals who believe in what they do. For details contact Nicholas Owens at: ext 240 Or submit resume online at: Or email to: Please reference when responding. Diedre Moire Corporation Diedre Moire Corporation, Inc. WE ARE AN EQUAL OPPORTUNITY EMPLOYER and our employment decisions are made without regard to race, color, religion, age, sex, national origin, handicap, disability or marital status. We reasonably accommodate individuals with handicaps, disabilities and bona fide religious beliefs. Jobs Career Position Hiring. CONSIDERED EXPERIENCE INCLUDES: Automation Engineer Controls Designer PLCs Programmable Logic Controllers Programmer Integration HMIs Human Machine Interfaces Robots Motors Sensors Actuators Linear & Rotary Motion Control Machine Vision Electronics AC & DC Electrical Power Servos Industrial Manufacturing Machinery DISCLAIMER: We will make every effort to consider applications for all available positions and shall use one or more of the contact methods and addresses indicated in resume or online application. Indicated location may be proximate or may be desirable point of embarkation for paid or unpaid relocation to another venue. Job descriptions may fit single or multiple presently available or anticipated positions and are NOT an offer of employment or contract implied or otherwise. Described compensation is not definite nor precise and may be estimated and approximate and is negotiable depending on market conditions and candidate availability and other factors and is solely at the discretion of employers. Linguistics used herein may use First Person Singular and First Person Plural grammatical person construction for and with the meaning of Third Person Singular and Third Person Plural references. We reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Response to a specific posting or advertisement may result in consideration for other opportunities and not necessarily the incentive or basis of the response. Nothing herein is or may be considered a promise, guarantee, offer, pledge, agreement, contract, or oath. If you submit an application or resume which contains your email address, we will use that email address to communicate with you about this and other positions. We use an email quality control service to maintain security and a remove and dead address filter. To cancel receiving email communications, simply send an email from your address with the word remove" in the subject line to Or, visit the website at . If you have further concern regarding email received from us, call .
Ken's Foods is a family owned business that takes pride in its roots. Ken's Foods, Inc was incorporated in 1958, and currently has plant operations in Marlborough, Massachusetts, McDonough, Georgia, Las Vegas, Nevada, and Lebanon, Indiana. In addition, Ken's employs over 1000 employees nationally. To this day, Ken's is still owned by the same family, as they continue their tradition of flavor obsession. Joining Ken's Foods is becoming part of an enthusiastic team. Whether you're in our state-of-the-art facilities or in our corporate headquarters, you'll enjoy a warm company culture and get all the tools you will need to succeed in your career. SUMMARY The Automation Engineer will support our Corporate Engineering team with Manufacturing Systems Controls Design and Support. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Development, integration, and maintenance of manufacturing equipment controls systems, manufacturing systems automation, industrial electrical maintenance and design, and human-machine interfaces, and industrial communications networks under the direction of senior corporate engineers and integrators. Must have experience with Ignition. Experience with some of the following is strongly desired: Rockwell RSLogix 5, 500, 5000, Studio Rockwell RS View, Factory Talk Studio Inductive Automation Ignition. Must have experience with Ignition. Rockwell PowerFlex Variable Frequency Drives Rockwell Point IO and Flex IO systems Industrial electrical panels and wiring Exposure and understanding of the following are beneficial: Industrial flow meters, temperature probes, level sensors, photoeyes, and solenoid valves Wonderware InTouch, InBatch Microsoft SQL AutoCAD VMWare Workstation Player and vSphere Programming (C++, Visual Basic, Java, Python, etc.) Cisco networking hardware Fanuc Robotic Application Must be available to travel to all Facilities to assist with project work and start-ups. Work with site Control Technicians for troubleshooting, training, and start-ups. Develop and foster strong relationships with Plant Operation team to evolve current systems architecture and maximize manufacturing efficiencies and output. Job requires interaction with plant personnel both hourly and salary. Good people management skills, Customer focused personality and approach are a must. Support local Operations needs for electrical and automation system support. Create written instructions for local Maintenance department for automation systems Commitment to safety begins with management. Managers and frontline supervisors are accountable for creating and maintaining a culture of Safety and assuring a safe work environment. Education and/or Experience Bachelor's degree (B. S.) from four-year College or university in software engineering, electrical engineering, or related discipline. 4+ years' experience with industrial control systems. SKILLS AND ABILITIES Good understanding of industrial automation programming concepts Strong understanding of electrical concepts and theories Understanding of computer WAN and LAN networks Ability to work and manage time independently Ability to quickly learn about new software, hardware, and automation equipment and effectively implement it The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $90k-110K annually. At this time, we are not able to consider candidates who require, or may require, current or future visa sponsorship. This may include, but is not limited to, candidates in F-1/OPT, CPT, H-1B, TN, E-3, H-4 EAD, or similar temporary work-authorized visa statuses. Employment with Ken's Foods is contingent upon successful completion of a drug test, background screening, and pre-employment assessment.
11/14/2026
Full time
Ken's Foods is a family owned business that takes pride in its roots. Ken's Foods, Inc was incorporated in 1958, and currently has plant operations in Marlborough, Massachusetts, McDonough, Georgia, Las Vegas, Nevada, and Lebanon, Indiana. In addition, Ken's employs over 1000 employees nationally. To this day, Ken's is still owned by the same family, as they continue their tradition of flavor obsession. Joining Ken's Foods is becoming part of an enthusiastic team. Whether you're in our state-of-the-art facilities or in our corporate headquarters, you'll enjoy a warm company culture and get all the tools you will need to succeed in your career. SUMMARY The Automation Engineer will support our Corporate Engineering team with Manufacturing Systems Controls Design and Support. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Development, integration, and maintenance of manufacturing equipment controls systems, manufacturing systems automation, industrial electrical maintenance and design, and human-machine interfaces, and industrial communications networks under the direction of senior corporate engineers and integrators. Must have experience with Ignition. Experience with some of the following is strongly desired: Rockwell RSLogix 5, 500, 5000, Studio Rockwell RS View, Factory Talk Studio Inductive Automation Ignition. Must have experience with Ignition. Rockwell PowerFlex Variable Frequency Drives Rockwell Point IO and Flex IO systems Industrial electrical panels and wiring Exposure and understanding of the following are beneficial: Industrial flow meters, temperature probes, level sensors, photoeyes, and solenoid valves Wonderware InTouch, InBatch Microsoft SQL AutoCAD VMWare Workstation Player and vSphere Programming (C++, Visual Basic, Java, Python, etc.) Cisco networking hardware Fanuc Robotic Application Must be available to travel to all Facilities to assist with project work and start-ups. Work with site Control Technicians for troubleshooting, training, and start-ups. Develop and foster strong relationships with Plant Operation team to evolve current systems architecture and maximize manufacturing efficiencies and output. Job requires interaction with plant personnel both hourly and salary. Good people management skills, Customer focused personality and approach are a must. Support local Operations needs for electrical and automation system support. Create written instructions for local Maintenance department for automation systems Commitment to safety begins with management. Managers and frontline supervisors are accountable for creating and maintaining a culture of Safety and assuring a safe work environment. Education and/or Experience Bachelor's degree (B. S.) from four-year College or university in software engineering, electrical engineering, or related discipline. 4+ years' experience with industrial control systems. SKILLS AND ABILITIES Good understanding of industrial automation programming concepts Strong understanding of electrical concepts and theories Understanding of computer WAN and LAN networks Ability to work and manage time independently Ability to quickly learn about new software, hardware, and automation equipment and effectively implement it The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $90k-110K annually. At this time, we are not able to consider candidates who require, or may require, current or future visa sponsorship. This may include, but is not limited to, candidates in F-1/OPT, CPT, H-1B, TN, E-3, H-4 EAD, or similar temporary work-authorized visa statuses. Employment with Ken's Foods is contingent upon successful completion of a drug test, background screening, and pre-employment assessment.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks. We are currently seeking an energetic Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS- 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 111 100.00 USD annually
11/14/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks. We are currently seeking an energetic Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS- 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 111 100.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the AWS Controls Team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for innovating, deploying, optimizing, and maintaining the automation systems within the data centers. Automation systems consist of building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. The ideal candidate will possess a construction management, mechanical, electrical or technology background that enables them to undertake the challenges of sophisticated controls platforms and a demonstrated ability to think broadly and strategically in aligning building controls and automation with the larger objectives of the business. This role requires valid driver's license and travel domestically and internationally at least 25% of the time. Key job responsibilities • Manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) for construction of AWS data centers. • Ensure data center controls are deployed in accordance with scope of work (SOW) and specifications. • Review and provide feedback on mechanical, electrical, and plumbing (MEP) drawings. • Develop controls bill of material (BOM). • Manage multiple stakeholder deliverables, requirements and navigate difficult situations. • Work under tight project timelines. • Financially manage both construction and service contracts. • Act in a project sponsor/lead capacity. • Provide vendor management. • Develop scope of work for site improvement projects. • Provide technical assistance and support to internal customers during life cycle of the data center. • Perform controls root cause analysis for service of controls for AWS data centers. • Schedule and supervise Quarterly maintenance for BMS and EPMS. • Review controls sequence of operation and provide feedback to design. • Participate in a global on-call schedule. • Grow in technical ability by learning a multitude of different automation platforms. • Develop building automation controls drawings and wiring diagrams. • Size controls valves and damper actuators and select controls devices. • Develop and modify control logic programming. • Develop and modify graphical user interface. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Bachelor's degree in Electrical Engineering, Mechanical Engineering or a related field plus 10+ years of relevant controls experience, OR 15+ years of relevant controls experience in lieu of a degree. - 10+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.) - 9+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution. PREFERRED QUALIFICATIONS - Master's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience - 4+ Yr. Military Service Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Odessa - 139 000.00 USD annually
11/14/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the AWS Controls Team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for innovating, deploying, optimizing, and maintaining the automation systems within the data centers. Automation systems consist of building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. The ideal candidate will possess a construction management, mechanical, electrical or technology background that enables them to undertake the challenges of sophisticated controls platforms and a demonstrated ability to think broadly and strategically in aligning building controls and automation with the larger objectives of the business. This role requires valid driver's license and travel domestically and internationally at least 25% of the time. Key job responsibilities • Manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) for construction of AWS data centers. • Ensure data center controls are deployed in accordance with scope of work (SOW) and specifications. • Review and provide feedback on mechanical, electrical, and plumbing (MEP) drawings. • Develop controls bill of material (BOM). • Manage multiple stakeholder deliverables, requirements and navigate difficult situations. • Work under tight project timelines. • Financially manage both construction and service contracts. • Act in a project sponsor/lead capacity. • Provide vendor management. • Develop scope of work for site improvement projects. • Provide technical assistance and support to internal customers during life cycle of the data center. • Perform controls root cause analysis for service of controls for AWS data centers. • Schedule and supervise Quarterly maintenance for BMS and EPMS. • Review controls sequence of operation and provide feedback to design. • Participate in a global on-call schedule. • Grow in technical ability by learning a multitude of different automation platforms. • Develop building automation controls drawings and wiring diagrams. • Size controls valves and damper actuators and select controls devices. • Develop and modify control logic programming. • Develop and modify graphical user interface. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Bachelor's degree in Electrical Engineering, Mechanical Engineering or a related field plus 10+ years of relevant controls experience, OR 15+ years of relevant controls experience in lieu of a degree. - 10+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.) - 9+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution. PREFERRED QUALIFICATIONS - Master's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience - 4+ Yr. Military Service Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Odessa - 139 000.00 USD annually
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Firmware Engineer BIOS/UEFI Description - The Firmware Engineer is responsible for ensuring that embedded firmware meets the highest standards of quality, robustness, and long term reliability. This role works closely with firmware developers, hardware engineers, architecture teams, QA, and cross functional partners to define quality metrics, validate system behavior, improve defect detection, and build processes that prevent regressions. Responsibilities Develop, execute, and maintain comprehensive firmware test plans, including functional, regression, stress, corner-case, and long-duration reliability tests. Evaluates the firmware architecture, design and development plus testing methodologies to create strategy and implement methods to bring increased quality and reliability to the firmware. Reviews firmware code and test plans including functional, regression, stress, corner-case and long-duration reliability tests. Perform root-cause analysis for firmware defects, drive containment, corrective actions, and verification of fixes. Create and manage quality dashboards, KPI, failure rates, and reliability metrics. Evaluate failure modes exposed during design, development, manufacturing and field use; propose design or process improvements to prevent recurrence. Works with product architects, firmware teams, product managers and provides critical guidance, system-level debugging and troubleshooting to various teams, as a Subject Matter Expert. Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Create and manage quality dashboards , KPIs, failure rates, and reliability metrics. Validate firmware integration with hardware, BIOS/UEFI, EC, microcontrollers, sensors, and platform level components. Evaluate failure modes exposed during development, manufacturing, and field use; propose design or process improvements to prevent recurrence. Manages and expands relationships with internal and outsourced development partners on firmware design and development. Drives innovation and integration of new technologies into projects and activities in the firmware design organization. Mentors less-experienced software firmware engineers and help guide them to successful deliverables. Firmware Architecture & Process Improvements Participate in firmware architecture reviews , ensuring quality and reliability considerations are incorporated into design (aligned with internal FW Architecture Review practices). Advocate and enforce coding standards, testability guidelines, and quality processes across firmware teams. Identify opportunities for simplification, refactoring, or architectural improvements to enhance stability and resilience. Collaborate with FW architects on quality initiatives (e.g., error code frameworks, BCR processes, customer centric diagnostics). Cross Functional Collaboration Work closely with hardware engineers, firmware developers, QA, sustaining teams, ODM partners, and integration teams. Provide quality feedback in design reviews, program meetings, and cross partner syncs. Support bring up, validation, platform qualification, and key program milestones. Mentor engineers on debugging techniques, quality practices, and reliability analysis. Risk Management & Compliance Ensure firmware processes comply with internal governance, standards, and security guidelines. Identify risks early and drive mitigation plans. Support audits, internal reviews, and quality assessments. Education & Experience Recommended Bachelor's or Master's degree in Computer Engineering , Electrical Engineering , Computer Science , or equivalent. 10+ years of experience in embedded firmware , quality engineering , hardware/firmware debugging , or reliability engineering . Background in embedded systems, microcontrollers, low level debugging, and system architecture. Technical Skills Strong understanding of embedded firmware development (C/C++), driver development, bootloaders, EC/BIOS/UEFI fundamentals. Proficiency in test automation, scripting (Python, Perl, PowerShell, etc.), and testing tools. Ability to analyze failures across hardware, firmware, and system boundaries. Experience with JTAG/SWD, oscilloscopes, logic analyzers, and other debug tools. Familiarity with continuous integration, version control, and quality workflows. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/14/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Firmware Engineer BIOS/UEFI Description - The Firmware Engineer is responsible for ensuring that embedded firmware meets the highest standards of quality, robustness, and long term reliability. This role works closely with firmware developers, hardware engineers, architecture teams, QA, and cross functional partners to define quality metrics, validate system behavior, improve defect detection, and build processes that prevent regressions. Responsibilities Develop, execute, and maintain comprehensive firmware test plans, including functional, regression, stress, corner-case, and long-duration reliability tests. Evaluates the firmware architecture, design and development plus testing methodologies to create strategy and implement methods to bring increased quality and reliability to the firmware. Reviews firmware code and test plans including functional, regression, stress, corner-case and long-duration reliability tests. Perform root-cause analysis for firmware defects, drive containment, corrective actions, and verification of fixes. Create and manage quality dashboards, KPI, failure rates, and reliability metrics. Evaluate failure modes exposed during design, development, manufacturing and field use; propose design or process improvements to prevent recurrence. Works with product architects, firmware teams, product managers and provides critical guidance, system-level debugging and troubleshooting to various teams, as a Subject Matter Expert. Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Create and manage quality dashboards , KPIs, failure rates, and reliability metrics. Validate firmware integration with hardware, BIOS/UEFI, EC, microcontrollers, sensors, and platform level components. Evaluate failure modes exposed during development, manufacturing, and field use; propose design or process improvements to prevent recurrence. Manages and expands relationships with internal and outsourced development partners on firmware design and development. Drives innovation and integration of new technologies into projects and activities in the firmware design organization. Mentors less-experienced software firmware engineers and help guide them to successful deliverables. Firmware Architecture & Process Improvements Participate in firmware architecture reviews , ensuring quality and reliability considerations are incorporated into design (aligned with internal FW Architecture Review practices). Advocate and enforce coding standards, testability guidelines, and quality processes across firmware teams. Identify opportunities for simplification, refactoring, or architectural improvements to enhance stability and resilience. Collaborate with FW architects on quality initiatives (e.g., error code frameworks, BCR processes, customer centric diagnostics). Cross Functional Collaboration Work closely with hardware engineers, firmware developers, QA, sustaining teams, ODM partners, and integration teams. Provide quality feedback in design reviews, program meetings, and cross partner syncs. Support bring up, validation, platform qualification, and key program milestones. Mentor engineers on debugging techniques, quality practices, and reliability analysis. Risk Management & Compliance Ensure firmware processes comply with internal governance, standards, and security guidelines. Identify risks early and drive mitigation plans. Support audits, internal reviews, and quality assessments. Education & Experience Recommended Bachelor's or Master's degree in Computer Engineering , Electrical Engineering , Computer Science , or equivalent. 10+ years of experience in embedded firmware , quality engineering , hardware/firmware debugging , or reliability engineering . Background in embedded systems, microcontrollers, low level debugging, and system architecture. Technical Skills Strong understanding of embedded firmware development (C/C++), driver development, bootloaders, EC/BIOS/UEFI fundamentals. Proficiency in test automation, scripting (Python, Perl, PowerShell, etc.), and testing tools. Ability to analyze failures across hardware, firmware, and system boundaries. Experience with JTAG/SWD, oscilloscopes, logic analyzers, and other debug tools. Familiarity with continuous integration, version control, and quality workflows. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
Are you experienced in Critical Infrastructure Commissioning Management and looking for a fast paced and cutting-edge environment to work in? The Cx Manager is responsible for managing a team of Commissioning Engineers (CxE), who run commissioning projects by coordinating with vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: -Medium and low voltage power systems -Generators -UPS -HVAC (Air Handlers / Exhaust Fans / VFD) -Chilled Water Systems -Building Management systems (BMS) -Electrical Power Monitoring Systems (EPMS) -Testing and balancing -Pumps and Hydronic systems The Cx Manager shall ensure all projects in their assigned area are appropriately staffed, deliver on time and achieve bar-raising quality. Occasionally provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the Cx Manager will occasionally be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the Cx Manager will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and fast-paced timelines: Physical Requirements - Walk job sites in uneven terrain - Occasionally work shifts longer than eight hours in duration with potential for night and weekends - Perform physical tasks throughout the day without becoming overly tired Ability to manipulate small wires and objects easily Location and Travel Requirements: - Ability to relocate to South Bend, IN Area - Ability and willingness to travel domestic and internationally for up to 50% of the year. Typical travel is 15%. - Required to provide personal transportation for meetings and job visits away from the office; reimbursed. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Key job responsibilities - Hire and on-board new team members through coaching and/or other orientation practices and career development of team to meet business demands - Understand the current capabilities of automation tools and confirm they are being utilized to the full benefit of the department and project - Provide Monthly business review reports to influence and/or support business decisions - Monitor the commissioning team's performance in turning over the critical infrastructure systems and sub-systems - Enhance skills, performance and development of all employees by sponsoring and promoting completion of training programs so that adherence to operations guidelines and specifications is ensured and work of the highest quality prevails - Maintain safe and healthy work environment by following and enforcing established project procedures relating to safety, work permitting and work order systems; adhere to legal requirements - Ability to build effective relationships with customer, engineering, construction, and vendor personnel About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of electrical or mechanical engineering, or 5+ years of relevant discipline work experience - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience managing and leading employees - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents PREFERRED QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, IN, New Carlisle - 136 000.00 USD annually
11/14/2026
Full time
Are you experienced in Critical Infrastructure Commissioning Management and looking for a fast paced and cutting-edge environment to work in? The Cx Manager is responsible for managing a team of Commissioning Engineers (CxE), who run commissioning projects by coordinating with vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: -Medium and low voltage power systems -Generators -UPS -HVAC (Air Handlers / Exhaust Fans / VFD) -Chilled Water Systems -Building Management systems (BMS) -Electrical Power Monitoring Systems (EPMS) -Testing and balancing -Pumps and Hydronic systems The Cx Manager shall ensure all projects in their assigned area are appropriately staffed, deliver on time and achieve bar-raising quality. Occasionally provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the Cx Manager will occasionally be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the Cx Manager will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and fast-paced timelines: Physical Requirements - Walk job sites in uneven terrain - Occasionally work shifts longer than eight hours in duration with potential for night and weekends - Perform physical tasks throughout the day without becoming overly tired Ability to manipulate small wires and objects easily Location and Travel Requirements: - Ability to relocate to South Bend, IN Area - Ability and willingness to travel domestic and internationally for up to 50% of the year. Typical travel is 15%. - Required to provide personal transportation for meetings and job visits away from the office; reimbursed. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Key job responsibilities - Hire and on-board new team members through coaching and/or other orientation practices and career development of team to meet business demands - Understand the current capabilities of automation tools and confirm they are being utilized to the full benefit of the department and project - Provide Monthly business review reports to influence and/or support business decisions - Monitor the commissioning team's performance in turning over the critical infrastructure systems and sub-systems - Enhance skills, performance and development of all employees by sponsoring and promoting completion of training programs so that adherence to operations guidelines and specifications is ensured and work of the highest quality prevails - Maintain safe and healthy work environment by following and enforcing established project procedures relating to safety, work permitting and work order systems; adhere to legal requirements - Ability to build effective relationships with customer, engineering, construction, and vendor personnel About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of electrical or mechanical engineering, or 5+ years of relevant discipline work experience - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience managing and leading employees - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents PREFERRED QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, IN, New Carlisle - 136 000.00 USD annually
Description: Base Salary Range: $70-135K Reports to - Director of Applications Engineering Annual Bonus: Direct Reports - N/A Remote: No Status - Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: Integrity Pride Accountability Customer Service Teamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Develop application solutions for customers that meet stated scope requirements based on RFQs and customer requests, within the timeframe allotment, quality standards and cost objectives. KEY RESPONSIBILITIES Maximize sales by assisting and supporting Schneider Regional Sales Managers, and potential and existing customers. Communicate, understand, compare, and contrast the solutions that are available for buying new equipment, modifications to existing equipment and troubleshooting problems with their implementations. Conceptualize solutions to applications and key customer issues and create proposals in compliance with Schneider sales procedures. Collaborate with engineering, production, and R&D when appropriate. Create quotes and layouts to support proposals. Develop pricing, descriptive proposal, and Robotic simulations (when needed). Effectively present Schneider product and system solutions to Schneider Regional Managers and Customers. Keep detailed records of activities including communications and documents in Schneider's CRM system. Occasionally travel to customer locations in support of Schneider Regional Managers. Perform other duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: BS in mechanical/electrical engineering OR equivalent experience with additional training in computer applications especially MSOffice and AutoCAD, ver. X Experience: At least 5 years of internal sales experience required. Minimum 5 years in a high technology engineering applications role desired. Demonstrated success in managing customer relationships. Sales proposals and communication required. Understanding of robotic systems and packaging equipment is favored. Skills: BENEFITS Medical/HSA/FSA Dental Vision 401k Company paid Life and AD&D Optional Life Insurance Flexible Work Schedule PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Ability to Travel X Compensation details: 00 Yearly Salary PIce5edbb1b6-
11/14/2026
Full time
Description: Base Salary Range: $70-135K Reports to - Director of Applications Engineering Annual Bonus: Direct Reports - N/A Remote: No Status - Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: Integrity Pride Accountability Customer Service Teamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Develop application solutions for customers that meet stated scope requirements based on RFQs and customer requests, within the timeframe allotment, quality standards and cost objectives. KEY RESPONSIBILITIES Maximize sales by assisting and supporting Schneider Regional Sales Managers, and potential and existing customers. Communicate, understand, compare, and contrast the solutions that are available for buying new equipment, modifications to existing equipment and troubleshooting problems with their implementations. Conceptualize solutions to applications and key customer issues and create proposals in compliance with Schneider sales procedures. Collaborate with engineering, production, and R&D when appropriate. Create quotes and layouts to support proposals. Develop pricing, descriptive proposal, and Robotic simulations (when needed). Effectively present Schneider product and system solutions to Schneider Regional Managers and Customers. Keep detailed records of activities including communications and documents in Schneider's CRM system. Occasionally travel to customer locations in support of Schneider Regional Managers. Perform other duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: BS in mechanical/electrical engineering OR equivalent experience with additional training in computer applications especially MSOffice and AutoCAD, ver. X Experience: At least 5 years of internal sales experience required. Minimum 5 years in a high technology engineering applications role desired. Demonstrated success in managing customer relationships. Sales proposals and communication required. Understanding of robotic systems and packaging equipment is favored. Skills: BENEFITS Medical/HSA/FSA Dental Vision 401k Company paid Life and AD&D Optional Life Insurance Flexible Work Schedule PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Ability to Travel X Compensation details: 00 Yearly Salary PIce5edbb1b6-
Are you experienced in Critical Infrastructure Commissioning Management and looking for a fast paced and cutting-edge environment to work in? The Cx Manager is responsible for managing a team of Commissioning Engineers (CxE), who run commissioning projects by coordinating with vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: -Medium and low voltage power systems -Generators -UPS -HVAC (Air Handlers / Exhaust Fans / VFD) -Chilled Water Systems -Building Management systems (BMS) -Electrical Power Monitoring Systems (EPMS) -Testing and balancing -Pumps and Hydronic systems The Cx Manager shall ensure all projects in their assigned area are appropriately staffed, deliver on time and achieve bar-raising quality. Occasionally provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the Cx Manager will occasionally be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the Cx Manager will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and fast-paced timelines: Physical Requirements - Walk job sites in uneven terrain - Occasionally work shifts longer than eight hours in duration with potential for night and weekends - Perform physical tasks throughout the day without becoming overly tired Ability to manipulate small wires and objects easily Location and Travel Requirements: - Ability to relocate to South Bend, IN Area - Ability and willingness to travel domestic and internationally for up to 50% of the year. Typical travel is 15%. - Required to provide personal transportation for meetings and job visits away from the office; reimbursed. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Key job responsibilities - Hire and on-board new team members through coaching and/or other orientation practices and career development of team to meet business demands - Understand the current capabilities of automation tools and confirm they are being utilized to the full benefit of the department and project - Provide Monthly business review reports to influence and/or support business decisions - Monitor the commissioning team's performance in turning over the critical infrastructure systems and sub-systems - Enhance skills, performance and development of all employees by sponsoring and promoting completion of training programs so that adherence to operations guidelines and specifications is ensured and work of the highest quality prevails - Maintain safe and healthy work environment by following and enforcing established project procedures relating to safety, work permitting and work order systems; adhere to legal requirements - Ability to build effective relationships with customer, engineering, construction, and vendor personnel About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of electrical or mechanical engineering, or 5+ years of relevant discipline work experience - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience managing and leading employees - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents PREFERRED QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, IN, New Carlisle - 136 000.00 USD annually
11/14/2026
Full time
Are you experienced in Critical Infrastructure Commissioning Management and looking for a fast paced and cutting-edge environment to work in? The Cx Manager is responsible for managing a team of Commissioning Engineers (CxE), who run commissioning projects by coordinating with vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: -Medium and low voltage power systems -Generators -UPS -HVAC (Air Handlers / Exhaust Fans / VFD) -Chilled Water Systems -Building Management systems (BMS) -Electrical Power Monitoring Systems (EPMS) -Testing and balancing -Pumps and Hydronic systems The Cx Manager shall ensure all projects in their assigned area are appropriately staffed, deliver on time and achieve bar-raising quality. Occasionally provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the Cx Manager will occasionally be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the Cx Manager will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and fast-paced timelines: Physical Requirements - Walk job sites in uneven terrain - Occasionally work shifts longer than eight hours in duration with potential for night and weekends - Perform physical tasks throughout the day without becoming overly tired Ability to manipulate small wires and objects easily Location and Travel Requirements: - Ability to relocate to South Bend, IN Area - Ability and willingness to travel domestic and internationally for up to 50% of the year. Typical travel is 15%. - Required to provide personal transportation for meetings and job visits away from the office; reimbursed. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Key job responsibilities - Hire and on-board new team members through coaching and/or other orientation practices and career development of team to meet business demands - Understand the current capabilities of automation tools and confirm they are being utilized to the full benefit of the department and project - Provide Monthly business review reports to influence and/or support business decisions - Monitor the commissioning team's performance in turning over the critical infrastructure systems and sub-systems - Enhance skills, performance and development of all employees by sponsoring and promoting completion of training programs so that adherence to operations guidelines and specifications is ensured and work of the highest quality prevails - Maintain safe and healthy work environment by following and enforcing established project procedures relating to safety, work permitting and work order systems; adhere to legal requirements - Ability to build effective relationships with customer, engineering, construction, and vendor personnel About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of electrical or mechanical engineering, or 5+ years of relevant discipline work experience - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience managing and leading employees - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents PREFERRED QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, IN, New Carlisle - 136 000.00 USD annually
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. Senior Automation Engineer The Senior Automation Engineer is responsible for leading the design, implementation, optimization, and lifecycle support of manufacturing automation and control systems across the Logan site. This role drives automation strategy, capital project execution, equipment reliability improvements, and technical standardization while partnering with Manufacturing, Quality, Maintenance, EHS, and Engineering teams to support operational excellence and business growth. This position reports to the Sr. Project & Automation Manager and is part of the Project & Automation Engineering team located in Logan, Utah and will be an on-site role . What you will do: Lead the design, implementation, commissioning, and lifecycle management of PLC, HMI, SCADA, instrumentation, and industrial networking systems supporting manufacturing operations. Serve as the controls & automation engineering lead for capital projects, including automation architecture, vendor management, FAT/SAT execution, startup, and operational handoff. Develop and maintain site automation standards, cybersecurity practices, documentation standards, and equipment modernization roadmaps. Lead complex troubleshooting and root cause analysis for critical manufacturing systems to improve reliability, OEE, and process performance. Provide technical leadership and mentorship for automation and controls activities across the site, influencing engineering best practices, developing internal capabilities, and driving adoption of emerging automation technologies. Who you are: Bachelor's degree in Automation, Controls, Mechatronics, Electrical, Computer Engineering, or a related technical discipline, with 10+ years of industrial automation and controls engineering experience in a manufacturing environment; equivalent combinations of education, technical training, certifications, and directly related experience will also be considered. Demonstrated success leading automation scope for capital projects from concept through startup, including system design, vendor management, commissioning, and operational handoff. Expert-level experience programming and troubleshooting PLC and HMI platforms such as Rockwell Automation Studio 5000 and FactoryTalk View. Deep technical expertise with industrial control systems, instrumentation, electrical systems, and industrial communication networks. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 15% to support vendors, training, and other Cytiva facilities. Ability to work in manufacturing, utility, and laboratory environments. Ability to stand, walk, climb stairs, and occasionally lift up to 25 pounds. It would be a plus if you also possess previous experience in: Life sciences, biotechnology, pharmaceutical, or medical device manufacturing. Ignition, Manufacturing Execution Systems (MES), data historians, or ISA-88/ISA-95 automation frameworks. Commissioning, qualification, and validation of regulated manufacturing systems. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . This job is also eligible for bonus/incentive pay. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
11/14/2026
Full time
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. Senior Automation Engineer The Senior Automation Engineer is responsible for leading the design, implementation, optimization, and lifecycle support of manufacturing automation and control systems across the Logan site. This role drives automation strategy, capital project execution, equipment reliability improvements, and technical standardization while partnering with Manufacturing, Quality, Maintenance, EHS, and Engineering teams to support operational excellence and business growth. This position reports to the Sr. Project & Automation Manager and is part of the Project & Automation Engineering team located in Logan, Utah and will be an on-site role . What you will do: Lead the design, implementation, commissioning, and lifecycle management of PLC, HMI, SCADA, instrumentation, and industrial networking systems supporting manufacturing operations. Serve as the controls & automation engineering lead for capital projects, including automation architecture, vendor management, FAT/SAT execution, startup, and operational handoff. Develop and maintain site automation standards, cybersecurity practices, documentation standards, and equipment modernization roadmaps. Lead complex troubleshooting and root cause analysis for critical manufacturing systems to improve reliability, OEE, and process performance. Provide technical leadership and mentorship for automation and controls activities across the site, influencing engineering best practices, developing internal capabilities, and driving adoption of emerging automation technologies. Who you are: Bachelor's degree in Automation, Controls, Mechatronics, Electrical, Computer Engineering, or a related technical discipline, with 10+ years of industrial automation and controls engineering experience in a manufacturing environment; equivalent combinations of education, technical training, certifications, and directly related experience will also be considered. Demonstrated success leading automation scope for capital projects from concept through startup, including system design, vendor management, commissioning, and operational handoff. Expert-level experience programming and troubleshooting PLC and HMI platforms such as Rockwell Automation Studio 5000 and FactoryTalk View. Deep technical expertise with industrial control systems, instrumentation, electrical systems, and industrial communication networks. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 15% to support vendors, training, and other Cytiva facilities. Ability to work in manufacturing, utility, and laboratory environments. Ability to stand, walk, climb stairs, and occasionally lift up to 25 pounds. It would be a plus if you also possess previous experience in: Life sciences, biotechnology, pharmaceutical, or medical device manufacturing. Ignition, Manufacturing Execution Systems (MES), data historians, or ISA-88/ISA-95 automation frameworks. Commissioning, qualification, and validation of regulated manufacturing systems. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . This job is also eligible for bonus/incentive pay. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Global Services (BGS) is seeking a Senior Factory Automation Electrical Systems Engineer Team Lead to lead our team in Berkeley, Missouri. In this role, you will join a team of multi-disciplined engineers and technical professionals responsible for ensuring the successful design, development, manufacture, installation and life cycle support of Automated Ultrasonic Scanning Systems (AUSS) Non-Destructive Inspection (NDI) products for worldwide internal and external aerospace programs. The team collaborates with multiple functions, suppliers, Boeing sites, and external customers to provide world class solutions for NDI systems. Automated inspection of composites and metallics is a critical technological need that supports both production and maintenance of aircraft for Boeing and our industry partners. This position offers an opportunity to join a high visibility team of exceptional engineers and technicians as it expands to meet growing industry demand. This position will report to the AUSS Senior Manager in Boeing Global Services Support Equipment. Position Responsibilities: Designs, integrates, and delivers electrical system for complex factory inspection systems Troubleshoots complex electrical-mechanical systems in a factory setting Leads day-to-day coordination of electrical engineering work to keep tasks aligned with priorities and delivery timelines Collaborates with project managers and other stakeholders to clarify requirements, dependencies, risks, and decisions Supports planning, effort estimation, task breakdown, and scheduling of engineering activities Identifies blockers, risks, and issues early and help drive timely resolution or escalation Promotes engineering best practices, including quality, testing, documentation, and configuration management Reviews technical deliverables and provides constructive feedback to improve quality and consistency Mentors team members by sharing knowledge, coaching on technical approaches, and encouraging collaboration Contributes to continuous improvement efforts in tools, processes, and delivery methods Conducts operator and maintenance training to factory personnel Routinely travels to customer sites across US and international Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience working in an Engineering environment 5+ years of experience working with electronics and/or mechanical systems in design fabrication and test 5+ years of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) Experience in systems diagnosis and the communication of highly technical information to global and complex audiences, or the equivalent combination of related training, proficiency, and experience Willing and able to travel 10-20% of time, both internationally and domestically Preferred Qualifications (Desired Skills and Experience): Active Security Clearance Experience with hands-on experience designing electrical components for factory automated systems, such as safety systems, relays, power supplies, Programmable Logic Controls (PLCs), motor drive assemblies Experience performing system-level integration, testing, commissioning, or troubleshooting of automated equipment or data acquisition systems in lab or factory environments Experience with integrating and diagnosing complex systems with both high voltage and digital logic components Working knowledge of national electrical and safety codes Experience with the AUTOCAD Electrical or Siemens Capital Experience in Non-Destructive Inspection (NDI) or Non-destructive Test (NDT) Experience in composite materials Ability to work effectively and safely in an elevated environment using lifts and ladder platforms Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $136,850 - $185,150 Applications for this position will be accepted until Dec. 04, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/13/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Global Services (BGS) is seeking a Senior Factory Automation Electrical Systems Engineer Team Lead to lead our team in Berkeley, Missouri. In this role, you will join a team of multi-disciplined engineers and technical professionals responsible for ensuring the successful design, development, manufacture, installation and life cycle support of Automated Ultrasonic Scanning Systems (AUSS) Non-Destructive Inspection (NDI) products for worldwide internal and external aerospace programs. The team collaborates with multiple functions, suppliers, Boeing sites, and external customers to provide world class solutions for NDI systems. Automated inspection of composites and metallics is a critical technological need that supports both production and maintenance of aircraft for Boeing and our industry partners. This position offers an opportunity to join a high visibility team of exceptional engineers and technicians as it expands to meet growing industry demand. This position will report to the AUSS Senior Manager in Boeing Global Services Support Equipment. Position Responsibilities: Designs, integrates, and delivers electrical system for complex factory inspection systems Troubleshoots complex electrical-mechanical systems in a factory setting Leads day-to-day coordination of electrical engineering work to keep tasks aligned with priorities and delivery timelines Collaborates with project managers and other stakeholders to clarify requirements, dependencies, risks, and decisions Supports planning, effort estimation, task breakdown, and scheduling of engineering activities Identifies blockers, risks, and issues early and help drive timely resolution or escalation Promotes engineering best practices, including quality, testing, documentation, and configuration management Reviews technical deliverables and provides constructive feedback to improve quality and consistency Mentors team members by sharing knowledge, coaching on technical approaches, and encouraging collaboration Contributes to continuous improvement efforts in tools, processes, and delivery methods Conducts operator and maintenance training to factory personnel Routinely travels to customer sites across US and international Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience working in an Engineering environment 5+ years of experience working with electronics and/or mechanical systems in design fabrication and test 5+ years of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) Experience in systems diagnosis and the communication of highly technical information to global and complex audiences, or the equivalent combination of related training, proficiency, and experience Willing and able to travel 10-20% of time, both internationally and domestically Preferred Qualifications (Desired Skills and Experience): Active Security Clearance Experience with hands-on experience designing electrical components for factory automated systems, such as safety systems, relays, power supplies, Programmable Logic Controls (PLCs), motor drive assemblies Experience performing system-level integration, testing, commissioning, or troubleshooting of automated equipment or data acquisition systems in lab or factory environments Experience with integrating and diagnosing complex systems with both high voltage and digital logic components Working knowledge of national electrical and safety codes Experience with the AUTOCAD Electrical or Siemens Capital Experience in Non-Destructive Inspection (NDI) or Non-destructive Test (NDT) Experience in composite materials Ability to work effectively and safely in an elevated environment using lifts and ladder platforms Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $136,850 - $185,150 Applications for this position will be accepted until Dec. 04, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. SQA Integration TPM Description - We are seeking a technically strong, highly motivated Technical Program Manager (TPM) to join our Software Quality organization. The ideal candidate combines a solid software engineering background with strong analytical skills, technical program management experience, and hands-on expertise in AI and automation. We are particularly interested in individuals who embrace emerging technologies, challenge traditional ways of working, and can independently develop AI-powered tools and solutions to improve engineering efficiency and effectiveness. Required Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. - Strong technical background in software development, firmware, software quality, or systems engineering. - Experience working with complex software systems and cross-functional engineering teams. - Solid understanding of software development lifecycles, CI/CD, version control, software testing, and quality engineering practices. - Experience with Jira, Git, Jenkins, or comparable engineering tools. - Strong scripting or programming skills, preferably Python. - Hands-on experience with generative AI, LLMs, and AI-powered automation. - Ability to design, develop, and integrate AI agents, bots, and automated workflows using APIs and modern AI frameworks. - Strong analytical and problem-solving skills with the ability to evaluate complex technical information. - Excellent communication, organization, and stakeholder management skills. - Ability to work independently, influence cross-functional teams, and drive technical decisions. Preferred Qualifications - Experience with embedded software, Android, Linux, or connected devices. - Background in software integration, SDET, DevOps, or release engineering. - Familiarity with AI agent frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Experience with Model Context Protocol (MCP), tool calling, RAG, and multi-agent workflows. - Experience integrating AI solutions with engineering platforms and development tools. - Knowledge of automated testing frameworks, CI/CD pipelines, and software quality metrics. - Experience applying AI to software development, testing, debugging, or engineering productivity. - Prior technical program management or technical leadership experience. Ideal Candidate Profile We value candidates who are: Technically hands-on: Comfortable understanding code, troubleshooting technical issues, and building practical solutions. AI-native: Actively using AI in their daily work and capable of creating agents and bots, not simply writing prompts. Analytical: Able to assess complex technical problems and make sound, evidence-based decisions. Proactive: Identify opportunities for improvement and take ownership without waiting for instructions. Influential: Confident working with experienced engineers and technical leaders. Adaptable: Comfortable operating in a fast-paced environment with evolving technologies and priorities.- The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. SQA Integration TPM Description - We are seeking a technically strong, highly motivated Technical Program Manager (TPM) to join our Software Quality organization. The ideal candidate combines a solid software engineering background with strong analytical skills, technical program management experience, and hands-on expertise in AI and automation. We are particularly interested in individuals who embrace emerging technologies, challenge traditional ways of working, and can independently develop AI-powered tools and solutions to improve engineering efficiency and effectiveness. Required Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. - Strong technical background in software development, firmware, software quality, or systems engineering. - Experience working with complex software systems and cross-functional engineering teams. - Solid understanding of software development lifecycles, CI/CD, version control, software testing, and quality engineering practices. - Experience with Jira, Git, Jenkins, or comparable engineering tools. - Strong scripting or programming skills, preferably Python. - Hands-on experience with generative AI, LLMs, and AI-powered automation. - Ability to design, develop, and integrate AI agents, bots, and automated workflows using APIs and modern AI frameworks. - Strong analytical and problem-solving skills with the ability to evaluate complex technical information. - Excellent communication, organization, and stakeholder management skills. - Ability to work independently, influence cross-functional teams, and drive technical decisions. Preferred Qualifications - Experience with embedded software, Android, Linux, or connected devices. - Background in software integration, SDET, DevOps, or release engineering. - Familiarity with AI agent frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Experience with Model Context Protocol (MCP), tool calling, RAG, and multi-agent workflows. - Experience integrating AI solutions with engineering platforms and development tools. - Knowledge of automated testing frameworks, CI/CD pipelines, and software quality metrics. - Experience applying AI to software development, testing, debugging, or engineering productivity. - Prior technical program management or technical leadership experience. Ideal Candidate Profile We value candidates who are: Technically hands-on: Comfortable understanding code, troubleshooting technical issues, and building practical solutions. AI-native: Actively using AI in their daily work and capable of creating agents and bots, not simply writing prompts. Analytical: Able to assess complex technical problems and make sound, evidence-based decisions. Proactive: Identify opportunities for improvement and take ownership without waiting for instructions. Influential: Confident working with experienced engineers and technical leaders. Adaptable: Comfortable operating in a fast-paced environment with evolving technologies and priorities.- The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the AWS Controls Team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for innovating, deploying, optimizing, and maintaining the automation systems within the data centers. Automation systems consist of building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. The ideal candidate will possess a construction management, mechanical, electrical or technology background that enables them to undertake the challenges of sophisticated controls platforms and a demonstrated ability to think broadly and strategically in aligning building controls and automation with the larger objectives of the business. This role requires valid driver's license and travel domestically and internationally at least 25% of the time. Key job responsibilities • Manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) for construction of AWS data centers. • Ensure data center controls are deployed in accordance with scope of work (SOW) and specifications. • Review and provide feedback on mechanical, electrical, and plumbing (MEP) drawings. • Develop controls bill of material (BOM). • Manage multiple stakeholder deliverables, requirements and navigate difficult situations. • Work under tight project timelines. • Financially manage both construction and service contracts. • Act in a project sponsor/lead capacity. • Provide vendor management. • Develop scope of work for site improvement projects. • Provide technical assistance and support to internal customers during life cycle of the data center. • Perform controls root cause analysis for service of controls for AWS data centers. • Schedule and supervise Quarterly maintenance for BMS and EPMS. • Review controls sequence of operation and provide feedback to design. • Participate in a global on-call schedule. • Grow in technical ability by learning a multitude of different automation platforms. • Develop building automation controls drawings and wiring diagrams. • Size controls valves and damper actuators and select controls devices. • Develop and modify control logic programming. • Develop and modify graphical user interface. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. - 5+ years with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.) PREFERRED QUALIFICATIONS - MS in Engineering (Mechanical, Electrical, Chemical, Controls/Automation) - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. • Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, GA, JACKSON - 111 100.00 USD annually
11/13/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the AWS Controls Team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for innovating, deploying, optimizing, and maintaining the automation systems within the data centers. Automation systems consist of building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. The ideal candidate will possess a construction management, mechanical, electrical or technology background that enables them to undertake the challenges of sophisticated controls platforms and a demonstrated ability to think broadly and strategically in aligning building controls and automation with the larger objectives of the business. This role requires valid driver's license and travel domestically and internationally at least 25% of the time. Key job responsibilities • Manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) for construction of AWS data centers. • Ensure data center controls are deployed in accordance with scope of work (SOW) and specifications. • Review and provide feedback on mechanical, electrical, and plumbing (MEP) drawings. • Develop controls bill of material (BOM). • Manage multiple stakeholder deliverables, requirements and navigate difficult situations. • Work under tight project timelines. • Financially manage both construction and service contracts. • Act in a project sponsor/lead capacity. • Provide vendor management. • Develop scope of work for site improvement projects. • Provide technical assistance and support to internal customers during life cycle of the data center. • Perform controls root cause analysis for service of controls for AWS data centers. • Schedule and supervise Quarterly maintenance for BMS and EPMS. • Review controls sequence of operation and provide feedback to design. • Participate in a global on-call schedule. • Grow in technical ability by learning a multitude of different automation platforms. • Develop building automation controls drawings and wiring diagrams. • Size controls valves and damper actuators and select controls devices. • Develop and modify control logic programming. • Develop and modify graphical user interface. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. - 5+ years with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.) PREFERRED QUALIFICATIONS - MS in Engineering (Mechanical, Electrical, Chemical, Controls/Automation) - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. • Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, GA, JACKSON - 111 100.00 USD annually
Amazon is looking for a results-oriented individual to join the AWS AMER West Energy Team. In this role, you will support AWS's infrastructure expansion by leading energy projects with electric utilities and energy companies in the AMER West region. This role will collaborate with internal and external stakeholders to grow AWS's diverse, reliable and low-cost energy supply. The candidate must be able to manage the execution of multiple large scale power infrastructure projects across different geographies in AMER West. The candidate will manage utility interactions, work with internal and external engineering, real estate and planning teams to deliver the electric infrastructure to serve AWS data centers, including but not limited to managing the utility, EPC vendor and/or Owners Engineer to meet AWS' needs. The candidate will work as part of an integrated team to implement energy program requirements and deliver tangible reliability and cost saving results. The ideal candidate will possess a strong energy background and a proven track record of developing and delivering on innovative energy projects. The candidate will have experience working with regulated electric utilities to develop, contract and deliver medium and high voltage power infrastructure, and related tariffs and agreements. The right candidate will have a demonstrated ability to think strategically about the business, operations, and technical challenges, with the skill-set to drive tactical execution of project schedules, contracts, initiatives and team goals. By establishing and growing business and technical relationships, and managing the day-to-day interactions with these partners, you will be responsible for ensuring energy requirements needed to support AWS's global infrastructure expansion are met. This role requires some domestic travel (less than 20%). Key job responsibilities - Manage multiple Utilities, EPC and Owner's Engineers to deliver a portfolio of inflight medium voltage and high voltage power infrastructure projects. - Manage capital budgets for electrical infrastructure and energy projects. - Collaborate with the internal teams and regulated utilities on the implementation and management of energy and projects in a timely and accurate fashion. - Identify and develop innovative cost savings projects and initiatives related to energy infrastructure and supply. - Work with utility regulators to develop policies and guidelines that enable broader AWS strategies and objectives. A day in the life Our team is accountable for the full lifecycle of utility power delivery to existing and future AWS data centers throughout North and South America. We are uniquely positioned and encourage to execute innovative energy solutions that accelerate our sustainability goals, improve power reliability and optimize costs. Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skill set. Here at AWS, we embrace our differences and are committed to furthering our culture of inclusion. About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - Bachelor's degree in electrical engineering or equivalent - Experience handling multiple projects simultaneously - Experience with design or construction administration of a variety of electrical distribution systems ranging from low voltage to high voltage - Experience leading the design, automation, deployment, and support of large-scale infrastructure - Experience in data center design, construction, operations, or facility maintenance - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience working directly with public utility commissions and other energy regulators Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 127 900.00 USD annually
11/13/2026
Full time
Amazon is looking for a results-oriented individual to join the AWS AMER West Energy Team. In this role, you will support AWS's infrastructure expansion by leading energy projects with electric utilities and energy companies in the AMER West region. This role will collaborate with internal and external stakeholders to grow AWS's diverse, reliable and low-cost energy supply. The candidate must be able to manage the execution of multiple large scale power infrastructure projects across different geographies in AMER West. The candidate will manage utility interactions, work with internal and external engineering, real estate and planning teams to deliver the electric infrastructure to serve AWS data centers, including but not limited to managing the utility, EPC vendor and/or Owners Engineer to meet AWS' needs. The candidate will work as part of an integrated team to implement energy program requirements and deliver tangible reliability and cost saving results. The ideal candidate will possess a strong energy background and a proven track record of developing and delivering on innovative energy projects. The candidate will have experience working with regulated electric utilities to develop, contract and deliver medium and high voltage power infrastructure, and related tariffs and agreements. The right candidate will have a demonstrated ability to think strategically about the business, operations, and technical challenges, with the skill-set to drive tactical execution of project schedules, contracts, initiatives and team goals. By establishing and growing business and technical relationships, and managing the day-to-day interactions with these partners, you will be responsible for ensuring energy requirements needed to support AWS's global infrastructure expansion are met. This role requires some domestic travel (less than 20%). Key job responsibilities - Manage multiple Utilities, EPC and Owner's Engineers to deliver a portfolio of inflight medium voltage and high voltage power infrastructure projects. - Manage capital budgets for electrical infrastructure and energy projects. - Collaborate with the internal teams and regulated utilities on the implementation and management of energy and projects in a timely and accurate fashion. - Identify and develop innovative cost savings projects and initiatives related to energy infrastructure and supply. - Work with utility regulators to develop policies and guidelines that enable broader AWS strategies and objectives. A day in the life Our team is accountable for the full lifecycle of utility power delivery to existing and future AWS data centers throughout North and South America. We are uniquely positioned and encourage to execute innovative energy solutions that accelerate our sustainability goals, improve power reliability and optimize costs. Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skill set. Here at AWS, we embrace our differences and are committed to furthering our culture of inclusion. About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - Bachelor's degree in electrical engineering or equivalent - Experience handling multiple projects simultaneously - Experience with design or construction administration of a variety of electrical distribution systems ranging from low voltage to high voltage - Experience leading the design, automation, deployment, and support of large-scale infrastructure - Experience in data center design, construction, operations, or facility maintenance - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience working directly with public utility commissions and other energy regulators Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 127 900.00 USD annually
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. R&D Manager, Project Leadership & Software Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Project Leadership and Software team is central to delivering secure, reliable, and differentiated HP Z Workstation experiences across hardware, firmware, software, and operating system ecosystems. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Project Leadership and Software leads teams of engineers and technical program managers responsible for workstation firmware development, Windows and Linux operating system readiness, platform software integration, and program execution for HP Z Workstations. The role manages multiple development and execution activities across product lifecycles, aligning resources, technical priorities, schedules, and business objectives to ensure successful delivery of workstation platforms. The manager drives execution from early platform architecture and bring-up through product launch, sustaining updates, and lifecycle refreshes. This includes ownership of Remote System Controller (RSC) firmware strategy and execution, Windows and Linux operating system integration and Linux certification, and end-to-end program leadership for Value Workstations. The role ensures platform readiness, customer satisfaction, and on-time delivery through close collaboration with internal engineering organizations, global original design manufacturers, silicon partners, operating system vendors, and strategic technology suppliers. This role combines people leadership, technical breadth, strategic planning, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software Engineering, Security, Program Management, Quality, Manufacturing, Customer Support, and external development partners to assess risk, drive alignment, resolve cross-functional issues, and support product readiness. The fundamental outcome is the successful delivery of innovative workstation platforms that meet customer needs and expectations across a wide range of professional computing environments. Key Responsibilities Firmware, Operating Systems, and Platform Software Leadership Lead manageability firmware, and low-level platform software engineering teams supporting HP Z Workstation platforms. Lead Windows and Linux operating system engineering activities, including OS readiness, hardware enablement, driver integration, certification, platform optimization, security, and enterprise deployment support. Drive execution of firmware and operating system deliverables from early architecture and platform bring-up through launch, sustaining updates, and lifecycle refreshes. Establish firmware and OS development strategies, release plans, quality objectives, and execution frameworks aligned with business and platform roadmaps. Ensure platform readiness through comprehensive validation of firmware, operating system, manageability, and customer experience requirements. Drive timely identification, prioritization, root-cause analysis, and resolution of critical platform issues in partnership with engineering teams, ODMs, operating system vendors, and silicon suppliers. Champion engineering excellence through continuous improvement of development processes, automation, metrics, development velocity, and quality outcomes. Technical Program Management Leadership Lead a team of R&D Technical Program Managers responsible for cross-functional execution of workstation platform development programs. Establish program governance, execution frameworks, decision-making processes, and risk management practices supporting complex hardware and software initiatives. Drive alignment of cross-functional teams across engineering, operations, quality, manufacturing, procurement, and business organizations. Ensure program plans, milestones, dependencies, and resource requirements are clearly defined, communicated, and actively managed. Lead program reviews, executive updates, issue escalations, and decision forums to maintain schedule predictability and delivery commitments. Drive risk identification, mitigation planning, and closure across multiple concurrent platform programs. People and Organizational Leadership Provide direct and ongoing leadership for firmware engineers, operating system engineers, technical program managers, and external partners. Manage staffing and talent responsibilities including recruitment, onboarding, performance management, coaching, succession planning, and career development. Establish clear objectives, accountability, and development plans that support strong execution and continued growth of team capability. Manage team budget and resource planning. Build an engineering culture emphasizing collaboration, customer focus, technical innovation, ownership, disciplined execution, and continuous improvement. Foster effective communication and collaboration between team members, global development teams, and outsourced resources. Lead supplier and partner performance management, ensuring commitments, quality objectives, and service expectations are achieved. Develop organizational capabilities across firmware engineering, operating systems expertise, and program management disciplines to meet evolving business needs. Program and Cross-Functional Leadership Manage deliverables, schedules, costs, and resource allocation across firmware, operating system, and platform programs; identify and mitigate technical, execution, quality, and schedule risks. Ensure engineering priorities, roadmaps, timelines, and budgets align with organizational and business objectives. Represent firmware, operating systems, and program execution organizations in leadership reviews, architecture reviews, readiness assessments, and Go/No-Go decisions. Communicate status, risks, dependencies, and escalation plans to leadership teams and development partners. Partner with Architecture, Hardware, Software, Security, Quality, Manufacturing, Customer Support, and Operations teams to assess readiness and execution risk. Support customer escalations and field issues, coordinating cross-functional investigation and resolution to maintain customer satisfaction. Lead recurring and ad hoc cross-functional reviews with global stakeholders to drive alignment, execution excellence, and business outcomes. Collaborate with Microsoft, Canonical, Red Hat, silicon providers, ODMs, and other ecosystem partners to ensure platform compatibility, certification, and customer readiness. Drive strategic initiatives focused on platform security, enterprise manageability, operating system innovation, AI workstation capabilities, and future technology enablement. Education and Experience Bachelor's or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline, or commensurate work experience and demonstrated competence. Typically 10+ years of job-related experience, including relevant experience in electronics or computer hardware/software development, technical program management, or a related technical development environment. Typically 8-10 years of management or technical leadership experience, including leadership of engineering functions, teams, and delivery across organizational or geographic boundaries. Demonstrated ability to manage project elements, resources, schedules, budgets, suppliers, and technical risks. Preferred Qualifications Experience with workstation-class platforms, enterprise PCs, high-performance computing systems, or other complex computing products. Experience leading system-level functional, lifecycle validation. Experience operating at the intersection of R&D, Quality, Manufacturing, suppliers, and customer engagement. Experience working with silicon partners and global original design manufacturers. Strong written and verbal communication skills, including the ability to present complex technical topics and readiness assessments to leadership audiences and guide effective decisions. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; . click apply for full job details
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. R&D Manager, Project Leadership & Software Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Project Leadership and Software team is central to delivering secure, reliable, and differentiated HP Z Workstation experiences across hardware, firmware, software, and operating system ecosystems. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Project Leadership and Software leads teams of engineers and technical program managers responsible for workstation firmware development, Windows and Linux operating system readiness, platform software integration, and program execution for HP Z Workstations. The role manages multiple development and execution activities across product lifecycles, aligning resources, technical priorities, schedules, and business objectives to ensure successful delivery of workstation platforms. The manager drives execution from early platform architecture and bring-up through product launch, sustaining updates, and lifecycle refreshes. This includes ownership of Remote System Controller (RSC) firmware strategy and execution, Windows and Linux operating system integration and Linux certification, and end-to-end program leadership for Value Workstations. The role ensures platform readiness, customer satisfaction, and on-time delivery through close collaboration with internal engineering organizations, global original design manufacturers, silicon partners, operating system vendors, and strategic technology suppliers. This role combines people leadership, technical breadth, strategic planning, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software Engineering, Security, Program Management, Quality, Manufacturing, Customer Support, and external development partners to assess risk, drive alignment, resolve cross-functional issues, and support product readiness. The fundamental outcome is the successful delivery of innovative workstation platforms that meet customer needs and expectations across a wide range of professional computing environments. Key Responsibilities Firmware, Operating Systems, and Platform Software Leadership Lead manageability firmware, and low-level platform software engineering teams supporting HP Z Workstation platforms. Lead Windows and Linux operating system engineering activities, including OS readiness, hardware enablement, driver integration, certification, platform optimization, security, and enterprise deployment support. Drive execution of firmware and operating system deliverables from early architecture and platform bring-up through launch, sustaining updates, and lifecycle refreshes. Establish firmware and OS development strategies, release plans, quality objectives, and execution frameworks aligned with business and platform roadmaps. Ensure platform readiness through comprehensive validation of firmware, operating system, manageability, and customer experience requirements. Drive timely identification, prioritization, root-cause analysis, and resolution of critical platform issues in partnership with engineering teams, ODMs, operating system vendors, and silicon suppliers. Champion engineering excellence through continuous improvement of development processes, automation, metrics, development velocity, and quality outcomes. Technical Program Management Leadership Lead a team of R&D Technical Program Managers responsible for cross-functional execution of workstation platform development programs. Establish program governance, execution frameworks, decision-making processes, and risk management practices supporting complex hardware and software initiatives. Drive alignment of cross-functional teams across engineering, operations, quality, manufacturing, procurement, and business organizations. Ensure program plans, milestones, dependencies, and resource requirements are clearly defined, communicated, and actively managed. Lead program reviews, executive updates, issue escalations, and decision forums to maintain schedule predictability and delivery commitments. Drive risk identification, mitigation planning, and closure across multiple concurrent platform programs. People and Organizational Leadership Provide direct and ongoing leadership for firmware engineers, operating system engineers, technical program managers, and external partners. Manage staffing and talent responsibilities including recruitment, onboarding, performance management, coaching, succession planning, and career development. Establish clear objectives, accountability, and development plans that support strong execution and continued growth of team capability. Manage team budget and resource planning. Build an engineering culture emphasizing collaboration, customer focus, technical innovation, ownership, disciplined execution, and continuous improvement. Foster effective communication and collaboration between team members, global development teams, and outsourced resources. Lead supplier and partner performance management, ensuring commitments, quality objectives, and service expectations are achieved. Develop organizational capabilities across firmware engineering, operating systems expertise, and program management disciplines to meet evolving business needs. Program and Cross-Functional Leadership Manage deliverables, schedules, costs, and resource allocation across firmware, operating system, and platform programs; identify and mitigate technical, execution, quality, and schedule risks. Ensure engineering priorities, roadmaps, timelines, and budgets align with organizational and business objectives. Represent firmware, operating systems, and program execution organizations in leadership reviews, architecture reviews, readiness assessments, and Go/No-Go decisions. Communicate status, risks, dependencies, and escalation plans to leadership teams and development partners. Partner with Architecture, Hardware, Software, Security, Quality, Manufacturing, Customer Support, and Operations teams to assess readiness and execution risk. Support customer escalations and field issues, coordinating cross-functional investigation and resolution to maintain customer satisfaction. Lead recurring and ad hoc cross-functional reviews with global stakeholders to drive alignment, execution excellence, and business outcomes. Collaborate with Microsoft, Canonical, Red Hat, silicon providers, ODMs, and other ecosystem partners to ensure platform compatibility, certification, and customer readiness. Drive strategic initiatives focused on platform security, enterprise manageability, operating system innovation, AI workstation capabilities, and future technology enablement. Education and Experience Bachelor's or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline, or commensurate work experience and demonstrated competence. Typically 10+ years of job-related experience, including relevant experience in electronics or computer hardware/software development, technical program management, or a related technical development environment. Typically 8-10 years of management or technical leadership experience, including leadership of engineering functions, teams, and delivery across organizational or geographic boundaries. Demonstrated ability to manage project elements, resources, schedules, budgets, suppliers, and technical risks. Preferred Qualifications Experience with workstation-class platforms, enterprise PCs, high-performance computing systems, or other complex computing products. Experience leading system-level functional, lifecycle validation. Experience operating at the intersection of R&D, Quality, Manufacturing, suppliers, and customer engagement. Experience working with silicon partners and global original design manufacturers. Strong written and verbal communication skills, including the ability to present complex technical topics and readiness assessments to leadership audiences and guide effective decisions. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; . click apply for full job details
Amazon is looking for a results-oriented individual to join the AWS AMER West Energy Team. In this role, you will support AWS's infrastructure expansion by leading energy projects with electric utilities and energy companies in the AMER West region. This role will collaborate with internal and external stakeholders to grow AWS's diverse, reliable and low-cost energy supply. The candidate must be able to manage the execution of multiple large scale power infrastructure projects across different geographies in AMER West. The candidate will manage utility interactions, work with internal and external engineering, real estate and planning teams to deliver the electric infrastructure to serve AWS data centers, including but not limited to managing the utility, EPC vendor and/or Owners Engineer to meet AWS' needs. The candidate will work as part of an integrated team to implement energy program requirements and deliver tangible reliability and cost saving results. The ideal candidate will possess a strong energy background and a proven track record of developing and delivering on innovative energy projects. The candidate will have experience working with regulated electric utilities to develop, contract and deliver medium and high voltage power infrastructure, and related tariffs and agreements. The right candidate will have a demonstrated ability to think strategically about the business, operations, and technical challenges, with the skill-set to drive tactical execution of project schedules, contracts, initiatives and team goals. By establishing and growing business and technical relationships, and managing the day-to-day interactions with these partners, you will be responsible for ensuring energy requirements needed to support AWS's global infrastructure expansion are met. This role requires some domestic travel (less than 20%). Key job responsibilities - Manage multiple Utilities, EPC and Owner's Engineers to deliver a portfolio of inflight medium voltage and high voltage power infrastructure projects. - Manage capital budgets for electrical infrastructure and energy projects. - Collaborate with the internal teams and regulated utilities on the implementation and management of energy and projects in a timely and accurate fashion. - Identify and develop innovative cost savings projects and initiatives related to energy infrastructure and supply. - Work with utility regulators to develop policies and guidelines that enable broader AWS strategies and objectives. A day in the life Our team is accountable for the full lifecycle of utility power delivery to existing and future AWS data centers throughout North and South America. We are uniquely positioned and encourage to execute innovative energy solutions that accelerate our sustainability goals, improve power reliability and optimize costs. Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skill set. Here at AWS, we embrace our differences and are committed to furthering our culture of inclusion. About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - Bachelor's degree in electrical engineering or equivalent - Experience handling multiple projects simultaneously - Experience with design or construction administration of a variety of electrical distribution systems ranging from low voltage to high voltage - Experience leading the design, automation, deployment, and support of large-scale infrastructure - Experience in data center design, construction, operations, or facility maintenance - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience working directly with public utility commissions and other energy regulators Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 127 900.00 USD annually
11/13/2026
Full time
Amazon is looking for a results-oriented individual to join the AWS AMER West Energy Team. In this role, you will support AWS's infrastructure expansion by leading energy projects with electric utilities and energy companies in the AMER West region. This role will collaborate with internal and external stakeholders to grow AWS's diverse, reliable and low-cost energy supply. The candidate must be able to manage the execution of multiple large scale power infrastructure projects across different geographies in AMER West. The candidate will manage utility interactions, work with internal and external engineering, real estate and planning teams to deliver the electric infrastructure to serve AWS data centers, including but not limited to managing the utility, EPC vendor and/or Owners Engineer to meet AWS' needs. The candidate will work as part of an integrated team to implement energy program requirements and deliver tangible reliability and cost saving results. The ideal candidate will possess a strong energy background and a proven track record of developing and delivering on innovative energy projects. The candidate will have experience working with regulated electric utilities to develop, contract and deliver medium and high voltage power infrastructure, and related tariffs and agreements. The right candidate will have a demonstrated ability to think strategically about the business, operations, and technical challenges, with the skill-set to drive tactical execution of project schedules, contracts, initiatives and team goals. By establishing and growing business and technical relationships, and managing the day-to-day interactions with these partners, you will be responsible for ensuring energy requirements needed to support AWS's global infrastructure expansion are met. This role requires some domestic travel (less than 20%). Key job responsibilities - Manage multiple Utilities, EPC and Owner's Engineers to deliver a portfolio of inflight medium voltage and high voltage power infrastructure projects. - Manage capital budgets for electrical infrastructure and energy projects. - Collaborate with the internal teams and regulated utilities on the implementation and management of energy and projects in a timely and accurate fashion. - Identify and develop innovative cost savings projects and initiatives related to energy infrastructure and supply. - Work with utility regulators to develop policies and guidelines that enable broader AWS strategies and objectives. A day in the life Our team is accountable for the full lifecycle of utility power delivery to existing and future AWS data centers throughout North and South America. We are uniquely positioned and encourage to execute innovative energy solutions that accelerate our sustainability goals, improve power reliability and optimize costs. Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skill set. Here at AWS, we embrace our differences and are committed to furthering our culture of inclusion. About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - Bachelor's degree in electrical engineering or equivalent - Experience handling multiple projects simultaneously - Experience with design or construction administration of a variety of electrical distribution systems ranging from low voltage to high voltage - Experience leading the design, automation, deployment, and support of large-scale infrastructure - Experience in data center design, construction, operations, or facility maintenance - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience working directly with public utility commissions and other energy regulators Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 127 900.00 USD annually
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
