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Senior Software Developer
Metalcraft of Mayville Mayville, Wisconsin
Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Senior Software Developer US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Software Developer to support the design, development, and maintenance of enterprise software applications. This role will work closely with senior developers and the Software Architect to build and enhance modern web-based solutions while helping maintain and gradually modernize existing systems. The ideal candidate will have experience developing applications using modern JavaScript and .NET frameworks and REST APIs, while also contributing to the ongoing improvement and enhancements of legacy systems. This role offers the opportunity to work on both new application development and modernization initiatives as the organization evolves its technology stack. Work is onsite only, in Mayville, Wisconsin. Not remote. Responsibilities Design, develop, test, and maintain web and enterprise applications that support business operations. Collaborate with the Software Architect and development team to implement scalable and maintainable software solutions. Write clean, efficient, and well-documented code following established development standards. Assist in maintaining and enhancing existing JavaScript-based applications and systems. Develop and integrate RESTful APIs and backend services. Participate in code reviews, debugging, and troubleshooting to ensure high-quality software delivery. Work with source control systems and issue tracking tools to manage development tasks and versioning. Support application deployments and assist with testing across development, staging, and production environments. Help ensure data accuracy and integrity during application updates and releases. Collaborate with business stakeholders and IT teams to understand requirements and translate them into technical solutions. Participate in Agile or Waterfall development processes depending on project needs. Provide occasional support for troubleshooting and system updates across multiple locations. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience). 3-5+ years of professional software development experience. Experience with modern JavaScript frameworks such as React, Next.js, or Angular. Experience building or integrating REST APIs. Familiarity with cloud environments, preferably Microsoft Azure (AWS or GCP experience is a plus). Experience working with relational databases and SQL. Understanding of software development best practices, debugging techniques, and version control systems. Familiarity with Agile, Scrum, or Waterfall methodologies. Strong problem-solving skills and the ability to work collaboratively within a development team. Experience in a manufacturing or industrial environment is a plus. Equal opportunity employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. PM17 Compensation details: 7.24-7.25 PI0bc9053b5-
04/09/2026
Full time
Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Senior Software Developer US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Software Developer to support the design, development, and maintenance of enterprise software applications. This role will work closely with senior developers and the Software Architect to build and enhance modern web-based solutions while helping maintain and gradually modernize existing systems. The ideal candidate will have experience developing applications using modern JavaScript and .NET frameworks and REST APIs, while also contributing to the ongoing improvement and enhancements of legacy systems. This role offers the opportunity to work on both new application development and modernization initiatives as the organization evolves its technology stack. Work is onsite only, in Mayville, Wisconsin. Not remote. Responsibilities Design, develop, test, and maintain web and enterprise applications that support business operations. Collaborate with the Software Architect and development team to implement scalable and maintainable software solutions. Write clean, efficient, and well-documented code following established development standards. Assist in maintaining and enhancing existing JavaScript-based applications and systems. Develop and integrate RESTful APIs and backend services. Participate in code reviews, debugging, and troubleshooting to ensure high-quality software delivery. Work with source control systems and issue tracking tools to manage development tasks and versioning. Support application deployments and assist with testing across development, staging, and production environments. Help ensure data accuracy and integrity during application updates and releases. Collaborate with business stakeholders and IT teams to understand requirements and translate them into technical solutions. Participate in Agile or Waterfall development processes depending on project needs. Provide occasional support for troubleshooting and system updates across multiple locations. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience). 3-5+ years of professional software development experience. Experience with modern JavaScript frameworks such as React, Next.js, or Angular. Experience building or integrating REST APIs. Familiarity with cloud environments, preferably Microsoft Azure (AWS or GCP experience is a plus). Experience working with relational databases and SQL. Understanding of software development best practices, debugging techniques, and version control systems. Familiarity with Agile, Scrum, or Waterfall methodologies. Strong problem-solving skills and the ability to work collaboratively within a development team. Experience in a manufacturing or industrial environment is a plus. Equal opportunity employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. PM17 Compensation details: 7.24-7.25 PI0bc9053b5-
Senior Software Architect
Metalcraft of Mayville Mayville, Wisconsin
Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Senior Software Architect US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Senior Software Architect to lead the design, modernization, and ongoing development of enterprise software applications. This role combines hands-on development, architectural leadership, and technical oversight to ensure scalable, secure, and maintainable solutions that align with business objectives. The ideal candidate will assess and modernize a legacy JavaScript-based architecture and .NET architectures (15+ years old), guide the transition toward modern frameworks and cloud-ready solutions, and provide technical leadership to the development team through code reviews, architecture validation, and best practice implementation. This position plays a key role in shaping the organization's application strategy while supporting mission-critical systems across the business. Work is onsite only in Mayville, Wisconsin. Not remote. Responsibilities Lead the design, development, and modernization of enterprise, web, and mobile applications. Evaluate existing legacy JavaScript architecture and design modernization strategies using modern frameworks and technologies. Develop, test, debug, and document high-quality software solutions that meet business and operational requirements. Ensure application architecture supports scalability, performance, security, and maintainability across cloud and on-premise environments. Provide technical leadership and mentorship to development teams, including code reviews and architectural guidance. Oversee the full software development lifecycle, from planning and design through deployment and support. Collaborate with business stakeholders and leadership to translate requirements into technical solutions. Create and manage project plans, development tasks, and delivery timelines for projects of varying complexity. Utilize source control, issue tracking, and DevOps tools to maintain development quality and traceability. Ensure data integrity and accuracy across staging and production environments. Perform high-level troubleshooting and support system upgrades as needed. Support multiple locations and provide occastional off-hours support when required. Maintain awareness of emerging technologies and industry trends to drive continuous improvement. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of professional software development experience, with experience in architecture or technical leadership roles. Strong experience with modern JavaScript frameworks such as Next.js, React, or Angular. Experience designing and developing RESTful APIs and distributed systems. Experience with cloud platforms, preferably Microsoft Azure (AWS or GCP experience is a plus). Familiarity with DevOps practices, CI/CD pipelines, and automated deployment. Strong experience with relational databases and data architecture. Experience with Agile, Scrum, or Waterfall development methodologies. Excellent problem-solving, communication, and technical mentorship skills. Experience in a manufacturing or industrial environment is a plus. Equal opportunity employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. PM17 Compensation details: 7.24-7.25 PIb1b70733a2fc-4524
04/09/2026
Full time
Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Senior Software Architect US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Senior Software Architect to lead the design, modernization, and ongoing development of enterprise software applications. This role combines hands-on development, architectural leadership, and technical oversight to ensure scalable, secure, and maintainable solutions that align with business objectives. The ideal candidate will assess and modernize a legacy JavaScript-based architecture and .NET architectures (15+ years old), guide the transition toward modern frameworks and cloud-ready solutions, and provide technical leadership to the development team through code reviews, architecture validation, and best practice implementation. This position plays a key role in shaping the organization's application strategy while supporting mission-critical systems across the business. Work is onsite only in Mayville, Wisconsin. Not remote. Responsibilities Lead the design, development, and modernization of enterprise, web, and mobile applications. Evaluate existing legacy JavaScript architecture and design modernization strategies using modern frameworks and technologies. Develop, test, debug, and document high-quality software solutions that meet business and operational requirements. Ensure application architecture supports scalability, performance, security, and maintainability across cloud and on-premise environments. Provide technical leadership and mentorship to development teams, including code reviews and architectural guidance. Oversee the full software development lifecycle, from planning and design through deployment and support. Collaborate with business stakeholders and leadership to translate requirements into technical solutions. Create and manage project plans, development tasks, and delivery timelines for projects of varying complexity. Utilize source control, issue tracking, and DevOps tools to maintain development quality and traceability. Ensure data integrity and accuracy across staging and production environments. Perform high-level troubleshooting and support system upgrades as needed. Support multiple locations and provide occastional off-hours support when required. Maintain awareness of emerging technologies and industry trends to drive continuous improvement. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of professional software development experience, with experience in architecture or technical leadership roles. Strong experience with modern JavaScript frameworks such as Next.js, React, or Angular. Experience designing and developing RESTful APIs and distributed systems. Experience with cloud platforms, preferably Microsoft Azure (AWS or GCP experience is a plus). Familiarity with DevOps practices, CI/CD pipelines, and automated deployment. Strong experience with relational databases and data architecture. Experience with Agile, Scrum, or Waterfall development methodologies. Excellent problem-solving, communication, and technical mentorship skills. Experience in a manufacturing or industrial environment is a plus. Equal opportunity employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. PM17 Compensation details: 7.24-7.25 PIb1b70733a2fc-4524
Controls Automation Engineer
Philips Recruiting Services Atlanta, Georgia
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
04/09/2026
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
Northrop Grumman
Systems Engineer - Level 5
Northrop Grumman Huntsville, Alabama
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems, Multi-Domain Operations, and Missile Defense Integration Business Unit (BU) has an exciting career opportunity for a Staff Systems Engineer - Level 5 to join our team of qualified, diverse individuals. This position will be in Huntsville, AL. Position Overview: The selected Staff Systems Engineer Level - 5 will work as a member of an Agile Scrum team performing Algorithm development and Analysis for the GMD Weapon System (GWS) Fire Control (GFC) product, you will be part of the team that develops new algorithms, improves old algorithms, and assesses the effectiveness and performance of them in the context of the GFC software (currently 1.5 million lines of code) that controls the missile defense system that protects the United States from intercontinental ballistic missile attack. Essential Functions: Work in a collaborative team environment to understand, implement, and assess new capabilities and algorithms. Perform algorithm development and analysis which are mathematics and physics based complex solutions that are critical to the performance of Ballistic Missile Defense System (BMDS) mission. The selected candidate should thrive in a fast-paced work environment with high expectations, significantly diverse assignments, and collaborative/teams comprised of all experience levels. Basic Qualifications: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university and 12 years of related work experience, or a Master's Degree in STEM and 10 years of related work experience, or 8 years of related work experience with a PhD in STEM. Demonstrated experience in one or more of the following areas: data analysis, performance analysis, and physics/Mathematics-based algorithm development Ability to communicate technical information clearly to both technical and non-technical personnel High proficiency in technical problem solving Knowledge of MATLAB, Python or similar engineering tools used in prototyping complex algorithms Excellent interpersonal and team collaboration skills Proven track record of successfully integrating problem solutions into a larger system Extensive background in at least one of the following: Ballistic Missile Defense, midcourse missile defense, battle management, threat processing, weapon target assignment, target object map population Capable of performing assigned tasks with very little or no direction Well-developed skills in critical thinking and paying attention to detail Proven experience in developing, prototyping and evaluating complex algorithms Must be able to support an in-person / closed-area work environment Ability and willingness to travel up to 10% of the time to support business needs. Applicants must have a current active in-scope DoD-issued Secret security clearance at the time of application, which is required to start Preferred Qualifications: Experience with the MDA GMD program. Advanced degree in Mathematics or Physics General understanding of any or all of the following algorithm domains: track processing, track reporting, discrimination, sensor resource management, resource utilization optimization, battlespace analysis Unix/Linux Operating System Experience Experience with optimization algorithms Experience with planning / scheduling algorithms Experience with sensor modeling, communication modeling, and / or missile modelling Battle Management or Fire Control experience Experienced with Linux, scripting, and operations Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/09/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems, Multi-Domain Operations, and Missile Defense Integration Business Unit (BU) has an exciting career opportunity for a Staff Systems Engineer - Level 5 to join our team of qualified, diverse individuals. This position will be in Huntsville, AL. Position Overview: The selected Staff Systems Engineer Level - 5 will work as a member of an Agile Scrum team performing Algorithm development and Analysis for the GMD Weapon System (GWS) Fire Control (GFC) product, you will be part of the team that develops new algorithms, improves old algorithms, and assesses the effectiveness and performance of them in the context of the GFC software (currently 1.5 million lines of code) that controls the missile defense system that protects the United States from intercontinental ballistic missile attack. Essential Functions: Work in a collaborative team environment to understand, implement, and assess new capabilities and algorithms. Perform algorithm development and analysis which are mathematics and physics based complex solutions that are critical to the performance of Ballistic Missile Defense System (BMDS) mission. The selected candidate should thrive in a fast-paced work environment with high expectations, significantly diverse assignments, and collaborative/teams comprised of all experience levels. Basic Qualifications: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university and 12 years of related work experience, or a Master's Degree in STEM and 10 years of related work experience, or 8 years of related work experience with a PhD in STEM. Demonstrated experience in one or more of the following areas: data analysis, performance analysis, and physics/Mathematics-based algorithm development Ability to communicate technical information clearly to both technical and non-technical personnel High proficiency in technical problem solving Knowledge of MATLAB, Python or similar engineering tools used in prototyping complex algorithms Excellent interpersonal and team collaboration skills Proven track record of successfully integrating problem solutions into a larger system Extensive background in at least one of the following: Ballistic Missile Defense, midcourse missile defense, battle management, threat processing, weapon target assignment, target object map population Capable of performing assigned tasks with very little or no direction Well-developed skills in critical thinking and paying attention to detail Proven experience in developing, prototyping and evaluating complex algorithms Must be able to support an in-person / closed-area work environment Ability and willingness to travel up to 10% of the time to support business needs. Applicants must have a current active in-scope DoD-issued Secret security clearance at the time of application, which is required to start Preferred Qualifications: Experience with the MDA GMD program. Advanced degree in Mathematics or Physics General understanding of any or all of the following algorithm domains: track processing, track reporting, discrimination, sensor resource management, resource utilization optimization, battlespace analysis Unix/Linux Operating System Experience Experience with optimization algorithms Experience with planning / scheduling algorithms Experience with sensor modeling, communication modeling, and / or missile modelling Battle Management or Fire Control experience Experienced with Linux, scripting, and operations Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Controls Automation Engineer
Philips Recruiting Services Holland, Michigan
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
04/09/2026
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
L3Harris Technologies
RUST Software Engineers/Developers
L3Harris Technologies Herndon, Virginia
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. L3Harris Engineering Career Fair - Herndon, VA Date : Thursday, April 23, 2026 Time : 2:00 pm - 6:00 pm EST Location : DoubleTree by Hilton McLean Tysons, 1960 Chain Bridge Rd, McLean, VA 22102 L3Harris Surface & C5 Systems - Herndon is a worldwide leader in the engineering, development, manufacture and integration of high assurance encryption systems for defense and governmental applications. The company's encryption solutions can be found in a wide range of demanding military environments around the world. Join our dynamic team! Qualified engineering & program management applicants must be US citizens and possess active government issued security clearance. Applicants without an active government issued security clearance will not be eligible for hire. This is a hiring event for experienced professionals, not aimed at recent college graduates, and all positions will be onsite. We will be interviewing and hiring for the following positions: RUST Software Engineers/Developers Embedded / C++ Software Engineers with experience Systems Security/Network Engineers VHDL/Electrical Design Engineers Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. L3Harris Engineering Career Fair - Herndon, VA Date : Thursday, April 23, 2026 Time : 2:00 pm - 6:00 pm EST Location : DoubleTree by Hilton McLean Tysons, 1960 Chain Bridge Rd, McLean, VA 22102 L3Harris Surface & C5 Systems - Herndon is a worldwide leader in the engineering, development, manufacture and integration of high assurance encryption systems for defense and governmental applications. The company's encryption solutions can be found in a wide range of demanding military environments around the world. Join our dynamic team! Qualified engineering & program management applicants must be US citizens and possess active government issued security clearance. Applicants without an active government issued security clearance will not be eligible for hire. This is a hiring event for experienced professionals, not aimed at recent college graduates, and all positions will be onsite. We will be interviewing and hiring for the following positions: RUST Software Engineers/Developers Embedded / C++ Software Engineers with experience Systems Security/Network Engineers VHDL/Electrical Design Engineers Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
L3Harris Technologies
Lead, Information Security Systems Engineer
L3Harris Technologies Salt Lake City, Utah
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Information Security Systems Engineer Job Code: 33910 Job Location: Salt Lake City, UT Job Schedule: 9/80 (employee's work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) Job Description: As a Lead , Information Security Systems Engineer at L3Harris Technologies, you will be involved in the cryptography that enables communication capabilities for the warfighter . We are looking for people with experience with cryptography design , development , and certification via FIPS 140 , Risk Management Framework and/or NSA certification processes . Our team includes both experienced and developing engineers in the field of cryptography , accreditation and certification . We hope to find candidates who are ready to work on a deeply technical, high energy team. Essential Functions: Understand and apply NSA and FIPS 140 requirements to cryptography products Work with both software and hardware design engineers to im plement requirements that satisfy the certification standards Produce design and testing documentation to validate the implementation of the requirements Lead NSA certification and FIPS 140 validation development efforts Interface with internal and external customers to discuss design , implementation , and certification progress Able to adapt to change, focus on timeliness, and collaborate in joint decision-making processes is essential Ask questions and seek clarification on unfamiliar and/or unclear concepts, designs, and implementation details Travel up to 25% as needed Must be eligible to receive a DoD Secret Clearance Required Qualifications (one of the following 3 with a DoD Secret Clearance) : Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree , minimum of 13 years of prior related experience. Preferred Additional Skills: Minimum of 4 years' on-the-job experience related to cryptography design , implementation and/or certification or equivalent educational experience in the form of a cryptography based Master's program . Possesses one of the following certifications at time of hire, or obtain one within 6 months of hire: Associate of CISSP , CISSP , CCNA Security , CSA+ , GICSP , GSEC , Security+ CE , SSCP (DoD 8140/8570 qualified certifications) Able to obtain and maintain a TS/SCI security clearance Strong technical writing skills . Familiar with communications systems , computer networking concepts , protocols (including TCP/IP ), and security methodologies Familiar with security engineering principles and processes Aware of basic security engineering design patterns , processes , and technologies Able to work in both group and individual settings under the direction, oversight, and mentoring of senior engineers Asks questions and seeks clarification on unfamiliar and/or unclear concepts, designs, and implementation details Strong problem-solving , creative thinking, and multi-tasking skills Familiar with RF communications Experience with matrixed development teams ( hardware , software , systems engineers ) and embedded systems engineering JCIDS , DJSIG , NIACAP , FIPS 140-2 or 140-3 , NSA certification High assurance crypto systems Gov't advisory/assistance as SETA / A&AS contractor in cybersecurity -related role Agile development processes Other security or technical certifications: CISA, CISM, CEH, CPT, MCSE, CCNA, Red Hat, Network+, SANS GIAC, Security+, CCNP Security, etc. Experience with TEMPEST , Anti-Tamper , or other system security specialties L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Information Security Systems Engineer Job Code: 33910 Job Location: Salt Lake City, UT Job Schedule: 9/80 (employee's work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) Job Description: As a Lead , Information Security Systems Engineer at L3Harris Technologies, you will be involved in the cryptography that enables communication capabilities for the warfighter . We are looking for people with experience with cryptography design , development , and certification via FIPS 140 , Risk Management Framework and/or NSA certification processes . Our team includes both experienced and developing engineers in the field of cryptography , accreditation and certification . We hope to find candidates who are ready to work on a deeply technical, high energy team. Essential Functions: Understand and apply NSA and FIPS 140 requirements to cryptography products Work with both software and hardware design engineers to im plement requirements that satisfy the certification standards Produce design and testing documentation to validate the implementation of the requirements Lead NSA certification and FIPS 140 validation development efforts Interface with internal and external customers to discuss design , implementation , and certification progress Able to adapt to change, focus on timeliness, and collaborate in joint decision-making processes is essential Ask questions and seek clarification on unfamiliar and/or unclear concepts, designs, and implementation details Travel up to 25% as needed Must be eligible to receive a DoD Secret Clearance Required Qualifications (one of the following 3 with a DoD Secret Clearance) : Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree , minimum of 13 years of prior related experience. Preferred Additional Skills: Minimum of 4 years' on-the-job experience related to cryptography design , implementation and/or certification or equivalent educational experience in the form of a cryptography based Master's program . Possesses one of the following certifications at time of hire, or obtain one within 6 months of hire: Associate of CISSP , CISSP , CCNA Security , CSA+ , GICSP , GSEC , Security+ CE , SSCP (DoD 8140/8570 qualified certifications) Able to obtain and maintain a TS/SCI security clearance Strong technical writing skills . Familiar with communications systems , computer networking concepts , protocols (including TCP/IP ), and security methodologies Familiar with security engineering principles and processes Aware of basic security engineering design patterns , processes , and technologies Able to work in both group and individual settings under the direction, oversight, and mentoring of senior engineers Asks questions and seeks clarification on unfamiliar and/or unclear concepts, designs, and implementation details Strong problem-solving , creative thinking, and multi-tasking skills Familiar with RF communications Experience with matrixed development teams ( hardware , software , systems engineers ) and embedded systems engineering JCIDS , DJSIG , NIACAP , FIPS 140-2 or 140-3 , NSA certification High assurance crypto systems Gov't advisory/assistance as SETA / A&AS contractor in cybersecurity -related role Agile development processes Other security or technical certifications: CISA, CISM, CEH, CPT, MCSE, CCNA, Red Hat, Network+, SANS GIAC, Security+, CCNP Security, etc. Experience with TEMPEST , Anti-Tamper , or other system security specialties L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Capital One New York City, New York
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).
04/09/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).
L3Harris Technologies
Embedded / C++ Software Engineers with experience
L3Harris Technologies Herndon, Virginia
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. L3Harris Engineering Career Fair - Herndon, VA Date : Thursday, April 23, 2026 Time : 2:00 pm - 6:00 pm EST Location : DoubleTree by Hilton McLean Tysons, 1960 Chain Bridge Rd, McLean, VA 22102 L3Harris Surface & C5 Systems - Herndon is a worldwide leader in the engineering, development, manufacture and integration of high assurance encryption systems for defense and governmental applications. The company's encryption solutions can be found in a wide range of demanding military environments around the world. Join our dynamic team! Qualified engineering & program management applicants must be US citizens and possess active government issued security clearance. Applicants without an active government issued security clearance will not be eligible for hire. This is a hiring event for experienced professionals, not aimed at recent college graduates, and all positions will be onsite. We will be interviewing and hiring for the following positions: RUST Software Engineers/Developers Embedded / C++ Software Engineers with experience Systems Security/Network Engineers VHDL/Electrical Design Engineers Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. L3Harris Engineering Career Fair - Herndon, VA Date : Thursday, April 23, 2026 Time : 2:00 pm - 6:00 pm EST Location : DoubleTree by Hilton McLean Tysons, 1960 Chain Bridge Rd, McLean, VA 22102 L3Harris Surface & C5 Systems - Herndon is a worldwide leader in the engineering, development, manufacture and integration of high assurance encryption systems for defense and governmental applications. The company's encryption solutions can be found in a wide range of demanding military environments around the world. Join our dynamic team! Qualified engineering & program management applicants must be US citizens and possess active government issued security clearance. Applicants without an active government issued security clearance will not be eligible for hire. This is a hiring event for experienced professionals, not aimed at recent college graduates, and all positions will be onsite. We will be interviewing and hiring for the following positions: RUST Software Engineers/Developers Embedded / C++ Software Engineers with experience Systems Security/Network Engineers VHDL/Electrical Design Engineers Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Capital One Richmond, Virginia
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).
04/09/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX)
Capital One McLean, Virginia
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
04/09/2026
Full time
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
L3Harris Technologies
Specialist, Software Engineer (Embedded Firmware/Hardware Design)
L3Harris Technologies Tempe, Arizona
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer (Embedded Firmware/Hardware Design) Job Code: 33745 Job Location: Tempe, AZ Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a Specialist, Software Engineer with L3Harris, you will be responsible for leading the software development of complex projects through the complete software development lifecycle. This includes defining the software requirements, creating the software platform architecture, overseeing and contributing to the software development on the program, and ensuring the successful deployment to production. Essential Functions: Collaborate with the Equipment Engineering Manager and departmental engineers to coordinate project requirements and communicate current status Responsible for leading the design, documentation, development, and testing of software projects through all phases of the software development lifecycle Responsible for managing the development, integration, debug, and test of internal software products Ability to professionally and effectively communicate is required. Written - use of multimedia tools for briefings, ability to write procedures and reports. Verbal - ability to provide briefings in small to medium size groups of technicians, engineers and management Conducts research and development activities concerned with the design, building, and testing of embedded systems and automated electro-optical test equipment Builds and tests prototypes of proposed Capital & IRAD funded electro-mechanical robotic, and integrated process control systems. This includes design and integration of electronic components with optical subsystems Oversees special projects, purchases required materials, assembles and verifies operation, and coordinates validation testing in production environment. Ownership of equipment operation software documentation Attend and support relevant morning stand up reviews and weekly reviews with Manufacturing and/or Equipment Engineering Manager Ability to obtain a US Security Clearance Qualifications: Bachelor's Degree in Electrical or Computer Engineering with 4 years prior experience in process development, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 2+ years of experience developing SW and board bring-up for embedded microcontroller systems Experience working with C/C++, data structures and inter-process communications Experience working in a multi-disciplinary team Preferred Additional Skills: Ability to effectively establish rapport and develop effective relationships Expert knowledge of communications protocols (e.g. USB, Bluetooth, I2C, SPI, UART etc.) Proficient with software configuration management tools; git preferred Proficient with feature and defect tracking tools L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer (Embedded Firmware/Hardware Design) Job Code: 33745 Job Location: Tempe, AZ Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a Specialist, Software Engineer with L3Harris, you will be responsible for leading the software development of complex projects through the complete software development lifecycle. This includes defining the software requirements, creating the software platform architecture, overseeing and contributing to the software development on the program, and ensuring the successful deployment to production. Essential Functions: Collaborate with the Equipment Engineering Manager and departmental engineers to coordinate project requirements and communicate current status Responsible for leading the design, documentation, development, and testing of software projects through all phases of the software development lifecycle Responsible for managing the development, integration, debug, and test of internal software products Ability to professionally and effectively communicate is required. Written - use of multimedia tools for briefings, ability to write procedures and reports. Verbal - ability to provide briefings in small to medium size groups of technicians, engineers and management Conducts research and development activities concerned with the design, building, and testing of embedded systems and automated electro-optical test equipment Builds and tests prototypes of proposed Capital & IRAD funded electro-mechanical robotic, and integrated process control systems. This includes design and integration of electronic components with optical subsystems Oversees special projects, purchases required materials, assembles and verifies operation, and coordinates validation testing in production environment. Ownership of equipment operation software documentation Attend and support relevant morning stand up reviews and weekly reviews with Manufacturing and/or Equipment Engineering Manager Ability to obtain a US Security Clearance Qualifications: Bachelor's Degree in Electrical or Computer Engineering with 4 years prior experience in process development, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 2+ years of experience developing SW and board bring-up for embedded microcontroller systems Experience working with C/C++, data structures and inter-process communications Experience working in a multi-disciplinary team Preferred Additional Skills: Ability to effectively establish rapport and develop effective relationships Expert knowledge of communications protocols (e.g. USB, Bluetooth, I2C, SPI, UART etc.) Proficient with software configuration management tools; git preferred Proficient with feature and defect tracking tools L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
L3Harris Technologies
Lead, Software Engineer - Tactical Data Link
L3Harris Technologies San Diego, California
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering (Tactical Data Link) Job Code: 33378 Job Location: San Diego or Carlsbad, California Schedule: 9/80 (Every other Friday off!) Job Description: We are seeking a Lead Software Engineer to lead software development efforts in our Tactical Data Link (TDL) Support Software product line. This candidate will play a pivotal role in shaping technical strategies, mentoring the engineering team, and architecting future enhancements to TDL Support Software applications. This role involves developing long-term technical visions to extend the design for future products and systems. The position requires onsite work and an active DoD Secret clearance. Essential Functions: - Lead and Architect software development for Windows/Linux software applications using C/C++. - Develop in multi-threaded codebases that handle multiple socket connections. - Create software based on Interface Control or Specification Documents. - Establish coding standards, design patterns, and automated analysis/testing pipelines that enforce memory safety. - Guide the adoption of modern programming practices, tools, and frameworks - Collaborate with cross-functional teams (systems engineering, cybersecurity, testing, and integration) to ensure requirements traceability and compliance. - Provide technical leadership and mentorship to the software engineering team, fostering a culture of secure, modern, and maintainable code. - Actively participate in technical conversations across L3Harris to help develop/recommend strategies and articulate a forward-looking vision to extend the design for TDL Support Products. - Serve as the primary technical interface with stakeholders, government customers, and leadership on compliance progress and risk mitigation. - Strong communication skills with the ability to brief executives and government stakeholders on technical topics. - Strong knowledge in using both Linux and Windows operating systems (including command line) for daily software development tasks. - Solid understanding of software development processes (i.e. Waterfall, Agile/SCRUM, etc.) - Strong understanding with software configuration management tools (i.e. Git, BitBucket, JIRA, Confluence, Jenkins, Artifactory etc.) - Availablilty to travel. Qualifications: - Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. - 9+ years of professional experience in software engineering, including at least 8 years in C/C++ application development. - Active DoD Secret clearance Preferred Additional Skills: - Understanding of Tactical Data Links (e.g., Link 16, JREAP-C) - Proficiency with Makefiles and embedded build tools (e.g., cross-compilers, linkers, debuggers). - Continuous Integration & Development (CI/CD) experience. - Proficient in Groovy programming and experienced in working with Jenkins. - Familiar with C# and understands both the .NET Framework and .NET Core. - Experienced in using the DevExpress toolset for creating user interfaces. - 4 years of leadership experience managing small-to-mid-sized software teams. - Familiarity with DoD software standards In compliance with pay transparency requirements, the salary range for this role in California, is $135,000 - 250,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering (Tactical Data Link) Job Code: 33378 Job Location: San Diego or Carlsbad, California Schedule: 9/80 (Every other Friday off!) Job Description: We are seeking a Lead Software Engineer to lead software development efforts in our Tactical Data Link (TDL) Support Software product line. This candidate will play a pivotal role in shaping technical strategies, mentoring the engineering team, and architecting future enhancements to TDL Support Software applications. This role involves developing long-term technical visions to extend the design for future products and systems. The position requires onsite work and an active DoD Secret clearance. Essential Functions: - Lead and Architect software development for Windows/Linux software applications using C/C++. - Develop in multi-threaded codebases that handle multiple socket connections. - Create software based on Interface Control or Specification Documents. - Establish coding standards, design patterns, and automated analysis/testing pipelines that enforce memory safety. - Guide the adoption of modern programming practices, tools, and frameworks - Collaborate with cross-functional teams (systems engineering, cybersecurity, testing, and integration) to ensure requirements traceability and compliance. - Provide technical leadership and mentorship to the software engineering team, fostering a culture of secure, modern, and maintainable code. - Actively participate in technical conversations across L3Harris to help develop/recommend strategies and articulate a forward-looking vision to extend the design for TDL Support Products. - Serve as the primary technical interface with stakeholders, government customers, and leadership on compliance progress and risk mitigation. - Strong communication skills with the ability to brief executives and government stakeholders on technical topics. - Strong knowledge in using both Linux and Windows operating systems (including command line) for daily software development tasks. - Solid understanding of software development processes (i.e. Waterfall, Agile/SCRUM, etc.) - Strong understanding with software configuration management tools (i.e. Git, BitBucket, JIRA, Confluence, Jenkins, Artifactory etc.) - Availablilty to travel. Qualifications: - Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. - 9+ years of professional experience in software engineering, including at least 8 years in C/C++ application development. - Active DoD Secret clearance Preferred Additional Skills: - Understanding of Tactical Data Links (e.g., Link 16, JREAP-C) - Proficiency with Makefiles and embedded build tools (e.g., cross-compilers, linkers, debuggers). - Continuous Integration & Development (CI/CD) experience. - Proficient in Groovy programming and experienced in working with Jenkins. - Familiar with C# and understands both the .NET Framework and .NET Core. - Experienced in using the DevExpress toolset for creating user interfaces. - 4 years of leadership experience managing small-to-mid-sized software teams. - Familiarity with DoD software standards In compliance with pay transparency requirements, the salary range for this role in California, is $135,000 - 250,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX)
Capital One Richmond, Virginia
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
04/09/2026
Full time
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
Volt
Test Engineer
Volt La Vergne, Tennessee
Apply for tomorrow's opportunity today, with Volt Volt is immediately hiring for Test Engineer in Nashville, TN As a Test Engineer, you will: Develop, implement, and support test processes to produce a variety of products including Servers, switches, and storage devices Develop techniques to troubleshoot failing systems as quickly and efficiently as possible Create work instructions and update online documentation for testing, troubleshooting, and repairing all CCBU products assembled. Train production technicians to test, troubleshoot and repair CCBU products manufactured. This will entail managing several test projects simultaneously. Develops and maintains automated test processes to enhance and insure the reliability and quality of new and existing products Performs results analysis, root cause identification, and reporting Analyzes failure reports and makes recommendations to improve product reliability and quality, and quality assurance processes, practices, and procedures Works independently and within engineering practices to maintain, modify, and enhance existing quality methods & processes Makes good technical decisions and completes tasks & assignments under only general direction Recognize problems that need further investigation, seek assistance when needed, demonstrate initiative and self-motivation Independently determine and develop approach to solutions, under only very general direction Provide solutions for wide range of difficult problems Ensure common test tool set is developed for use in manufacturing and service Provides leadership for all tests and diagnostics used in product engineering, manufacturing, returned material repair and supplier quality. This is a full-time Direct Hire opportunity. 2 nd shift - Weekend shifts 1st & 2 nd Required Skills: Bachelor's degree in electronic/electrical engineering, Computer Engineering, Computer Science, or equivalent discipline, or alternatively 2 years of experience in Software Development. Preferred Skills: Experience with Python scripting and Linux shell scripts to test computer hardware and verify hardware configurations Familiarity with server architecture including hardware, firmware, and drivers Experience with network technologies and protocols, switches, routers etc. Familiarity with PXE boot process, Automated Test Network, and OS download Pay Range: $65,000 to $88,000 Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible. Benefits: Benefits will be provided by the client Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please email or call (866) -. Please indicate the specifics of the assistance needed. Volt does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from VOLT and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at volt-information-sciences-privacy-policy.pdf Pandologic. Category:Technology,
04/09/2026
Full time
Apply for tomorrow's opportunity today, with Volt Volt is immediately hiring for Test Engineer in Nashville, TN As a Test Engineer, you will: Develop, implement, and support test processes to produce a variety of products including Servers, switches, and storage devices Develop techniques to troubleshoot failing systems as quickly and efficiently as possible Create work instructions and update online documentation for testing, troubleshooting, and repairing all CCBU products assembled. Train production technicians to test, troubleshoot and repair CCBU products manufactured. This will entail managing several test projects simultaneously. Develops and maintains automated test processes to enhance and insure the reliability and quality of new and existing products Performs results analysis, root cause identification, and reporting Analyzes failure reports and makes recommendations to improve product reliability and quality, and quality assurance processes, practices, and procedures Works independently and within engineering practices to maintain, modify, and enhance existing quality methods & processes Makes good technical decisions and completes tasks & assignments under only general direction Recognize problems that need further investigation, seek assistance when needed, demonstrate initiative and self-motivation Independently determine and develop approach to solutions, under only very general direction Provide solutions for wide range of difficult problems Ensure common test tool set is developed for use in manufacturing and service Provides leadership for all tests and diagnostics used in product engineering, manufacturing, returned material repair and supplier quality. This is a full-time Direct Hire opportunity. 2 nd shift - Weekend shifts 1st & 2 nd Required Skills: Bachelor's degree in electronic/electrical engineering, Computer Engineering, Computer Science, or equivalent discipline, or alternatively 2 years of experience in Software Development. Preferred Skills: Experience with Python scripting and Linux shell scripts to test computer hardware and verify hardware configurations Familiarity with server architecture including hardware, firmware, and drivers Experience with network technologies and protocols, switches, routers etc. Familiarity with PXE boot process, Automated Test Network, and OS download Pay Range: $65,000 to $88,000 Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible. Benefits: Benefits will be provided by the client Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please email or call (866) -. Please indicate the specifics of the assistance needed. Volt does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from VOLT and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at volt-information-sciences-privacy-policy.pdf Pandologic. Category:Technology,
Boeing
Associate Design & Analysis Engineer
Boeing Berkeley, Missouri
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. The Boeing Company has an exciting opportunity for an Associate Design & Analysis Engineer to become part of Boeing Test & Evaluation (BT&E) Aeronautical Systems Integration & Test (ASIT) team in Berkeley, MO . You will enable the ASIT organization to continue to advance its technologies in support of our Air Dominance, Phantom Works & Weapons programs. The team is responsible for developing integration test assets, real-time software test environments, subsystem/system testing, and evaluating system performance in simulation lab environment. Simulation and modeling are utilized to assist in requirements development, software and hardware development, and equipment verification and validation. Position Responsibilities Include: Develop and document moderately complex electronic and electrical system requirements. Designs hardware, software and interface specifications Test and validate to ensure system designs meet operational and functional requirements Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business needs Basic Qualifications (Required Skills/Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship. A final U.S. Secret Clearance Post-Start is required. 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 Experience designing, developing, testing, qualifying electrical/electronic systems Preferred Qualifications (Desired Skills/Experience): Experience with Mentor Graphics Capital tool Experience preparing test plans, schedules and documentation Experience with MATLAB, Simulink, and/or real-time operating test systems Active U.S. Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 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: $91,800 - $124,200 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 15, 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.
04/09/2026
Full time
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. The Boeing Company has an exciting opportunity for an Associate Design & Analysis Engineer to become part of Boeing Test & Evaluation (BT&E) Aeronautical Systems Integration & Test (ASIT) team in Berkeley, MO . You will enable the ASIT organization to continue to advance its technologies in support of our Air Dominance, Phantom Works & Weapons programs. The team is responsible for developing integration test assets, real-time software test environments, subsystem/system testing, and evaluating system performance in simulation lab environment. Simulation and modeling are utilized to assist in requirements development, software and hardware development, and equipment verification and validation. Position Responsibilities Include: Develop and document moderately complex electronic and electrical system requirements. Designs hardware, software and interface specifications Test and validate to ensure system designs meet operational and functional requirements Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business needs Basic Qualifications (Required Skills/Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship. A final U.S. Secret Clearance Post-Start is required. 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 Experience designing, developing, testing, qualifying electrical/electronic systems Preferred Qualifications (Desired Skills/Experience): Experience with Mentor Graphics Capital tool Experience preparing test plans, schedules and documentation Experience with MATLAB, Simulink, and/or real-time operating test systems Active U.S. Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 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: $91,800 - $124,200 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 15, 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.
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Capital One McLean, Virginia
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).
04/09/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).
Sr. Lead AI Engineer
Capital One New York City, New York
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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).
04/09/2026
Full time
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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).
L3Harris Technologies
Lead, Software Engineer - Tactical Data Link
L3Harris Technologies Carlsbad, California
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering (Tactical Data Link) Job Code: 33378 Job Location: San Diego or Carlsbad, California Schedule: 9/80 (Every other Friday off!) Job Description: We are seeking a Lead Software Engineer to lead software development efforts in our Tactical Data Link (TDL) Support Software product line. This candidate will play a pivotal role in shaping technical strategies, mentoring the engineering team, and architecting future enhancements to TDL Support Software applications. This role involves developing long-term technical visions to extend the design for future products and systems. The position requires onsite work and an active DoD Secret clearance. Essential Functions: - Lead and Architect software development for Windows/Linux software applications using C/C++. - Develop in multi-threaded codebases that handle multiple socket connections. - Create software based on Interface Control or Specification Documents. - Establish coding standards, design patterns, and automated analysis/testing pipelines that enforce memory safety. - Guide the adoption of modern programming practices, tools, and frameworks - Collaborate with cross-functional teams (systems engineering, cybersecurity, testing, and integration) to ensure requirements traceability and compliance. - Provide technical leadership and mentorship to the software engineering team, fostering a culture of secure, modern, and maintainable code. - Actively participate in technical conversations across L3Harris to help develop/recommend strategies and articulate a forward-looking vision to extend the design for TDL Support Products. - Serve as the primary technical interface with stakeholders, government customers, and leadership on compliance progress and risk mitigation. - Strong communication skills with the ability to brief executives and government stakeholders on technical topics. - Strong knowledge in using both Linux and Windows operating systems (including command line) for daily software development tasks. - Solid understanding of software development processes (i.e. Waterfall, Agile/SCRUM, etc.) - Strong understanding with software configuration management tools (i.e. Git, BitBucket, JIRA, Confluence, Jenkins, Artifactory etc.) - Availablilty to travel. Qualifications: - Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. - 9+ years of professional experience in software engineering, including at least 8 years in C/C++ application development. - Active DoD Secret clearance Preferred Additional Skills: - Understanding of Tactical Data Links (e.g., Link 16, JREAP-C) - Proficiency with Makefiles and embedded build tools (e.g., cross-compilers, linkers, debuggers). - Continuous Integration & Development (CI/CD) experience. - Proficient in Groovy programming and experienced in working with Jenkins. - Familiar with C# and understands both the .NET Framework and .NET Core. - Experienced in using the DevExpress toolset for creating user interfaces. - 4 years of leadership experience managing small-to-mid-sized software teams. - Familiarity with DoD software standards In compliance with pay transparency requirements, the salary range for this role in California, is $135,000 - 250,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering (Tactical Data Link) Job Code: 33378 Job Location: San Diego or Carlsbad, California Schedule: 9/80 (Every other Friday off!) Job Description: We are seeking a Lead Software Engineer to lead software development efforts in our Tactical Data Link (TDL) Support Software product line. This candidate will play a pivotal role in shaping technical strategies, mentoring the engineering team, and architecting future enhancements to TDL Support Software applications. This role involves developing long-term technical visions to extend the design for future products and systems. The position requires onsite work and an active DoD Secret clearance. Essential Functions: - Lead and Architect software development for Windows/Linux software applications using C/C++. - Develop in multi-threaded codebases that handle multiple socket connections. - Create software based on Interface Control or Specification Documents. - Establish coding standards, design patterns, and automated analysis/testing pipelines that enforce memory safety. - Guide the adoption of modern programming practices, tools, and frameworks - Collaborate with cross-functional teams (systems engineering, cybersecurity, testing, and integration) to ensure requirements traceability and compliance. - Provide technical leadership and mentorship to the software engineering team, fostering a culture of secure, modern, and maintainable code. - Actively participate in technical conversations across L3Harris to help develop/recommend strategies and articulate a forward-looking vision to extend the design for TDL Support Products. - Serve as the primary technical interface with stakeholders, government customers, and leadership on compliance progress and risk mitigation. - Strong communication skills with the ability to brief executives and government stakeholders on technical topics. - Strong knowledge in using both Linux and Windows operating systems (including command line) for daily software development tasks. - Solid understanding of software development processes (i.e. Waterfall, Agile/SCRUM, etc.) - Strong understanding with software configuration management tools (i.e. Git, BitBucket, JIRA, Confluence, Jenkins, Artifactory etc.) - Availablilty to travel. Qualifications: - Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. - 9+ years of professional experience in software engineering, including at least 8 years in C/C++ application development. - Active DoD Secret clearance Preferred Additional Skills: - Understanding of Tactical Data Links (e.g., Link 16, JREAP-C) - Proficiency with Makefiles and embedded build tools (e.g., cross-compilers, linkers, debuggers). - Continuous Integration & Development (CI/CD) experience. - Proficient in Groovy programming and experienced in working with Jenkins. - Familiar with C# and understands both the .NET Framework and .NET Core. - Experienced in using the DevExpress toolset for creating user interfaces. - 4 years of leadership experience managing small-to-mid-sized software teams. - Familiarity with DoD software standards In compliance with pay transparency requirements, the salary range for this role in California, is $135,000 - 250,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
Senior Business Systems Analyst - Remote
Sentara Health Richmond, Virginia
City/State Richmond, VA Work Shift First (Days) Overview: Sentara is hiring a Senior Business Systems Analyst! This position is fully remote! Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington (state), West Virginia, Wisconsin, Wyoming Job Summary This position is responsible for support, enhancement and implementation software applications used within the organization. Oversees and directs intermediate scale projects or components of large-scale projects; develops project plans and timelines and coordination of project resources. Job Description Incumbent will identify opportunities to leverage technologies in areas that improve and enhance the business practices by designing and implementing application/product enhancements. Works with and is a liaison to customers and end-users, appropriate IT personnel and software vendors on a regular basis to align technology functionality to operational processes. Assess, research, analyze, and document stakeholder needs, selecting the appropriate information gathering and/or modeling technique to elicit requirements. Develop detailed test cases, execute them, and share results with business and tech managers for approval. Work jointly with developers to solution and provide cost and time estimates on fixes and enhancements. Performs longer term analysis and design of systems and hardware to maintain the production environments. Synthesize requirements and develop recommendations that best meet the objectives of the business. Works on project teams that are developing or modifying very complex information systems. Education Bachelor's degree preferably in a field such as Computer Science , Business, Technical, Education, Information Systems, Finance, Business Administration, Accounting, Engineering, Information Technology ( Required ) or Candidates without a bachelor's degree with 6 or mo re years of relevant experience may be considered. Experience: 4 years of relevant experience (Required) Experience in SQL, Enrollment and reporting (Required) Looking for someone who has worked on large scale project, implementations or migrations QNXT and/or Python experience (Preferred) Proficiency in HTML, and CSS (Preferred) Talroo-IT Indeed Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
04/09/2026
Full time
City/State Richmond, VA Work Shift First (Days) Overview: Sentara is hiring a Senior Business Systems Analyst! This position is fully remote! Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington (state), West Virginia, Wisconsin, Wyoming Job Summary This position is responsible for support, enhancement and implementation software applications used within the organization. Oversees and directs intermediate scale projects or components of large-scale projects; develops project plans and timelines and coordination of project resources. Job Description Incumbent will identify opportunities to leverage technologies in areas that improve and enhance the business practices by designing and implementing application/product enhancements. Works with and is a liaison to customers and end-users, appropriate IT personnel and software vendors on a regular basis to align technology functionality to operational processes. Assess, research, analyze, and document stakeholder needs, selecting the appropriate information gathering and/or modeling technique to elicit requirements. Develop detailed test cases, execute them, and share results with business and tech managers for approval. Work jointly with developers to solution and provide cost and time estimates on fixes and enhancements. Performs longer term analysis and design of systems and hardware to maintain the production environments. Synthesize requirements and develop recommendations that best meet the objectives of the business. Works on project teams that are developing or modifying very complex information systems. Education Bachelor's degree preferably in a field such as Computer Science , Business, Technical, Education, Information Systems, Finance, Business Administration, Accounting, Engineering, Information Technology ( Required ) or Candidates without a bachelor's degree with 6 or mo re years of relevant experience may be considered. Experience: 4 years of relevant experience (Required) Experience in SQL, Enrollment and reporting (Required) Looking for someone who has worked on large scale project, implementations or migrations QNXT and/or Python experience (Preferred) Proficiency in HTML, and CSS (Preferred) Talroo-IT Indeed Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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