Staffing Pros, a division of VETS Inc., is recruiting for a full-time Software Packaging Engineer. This senior engineering position requires extensive hands-on experience in packaging, testing, and delivering baseline and non-baseline software to both classified and unclassified government networks. The software will be used on Standard Operating Environment (SOE) devices and made available via Intune, the Software Center, PAT, and/or MCM. The software packaging engineer is responsible for ensuring the interoperability of applications on supported Windows 11 endpoints. The position will have a hybrid telework arrangement with on-site presence three (3) days a week, at a secure government facility in Washington, DC. Work schedule will be Monday through Friday during normal business hours. Work location and schedule are subject to change based on government requirements. Responsibilities: Manage the workflow for packaging requests for baseline and non-baseline applications deployed on the SOE platforms on the unclassified and classified networks. This duty involves close coordination with application owners to build, test, perform user acceptance, and publish the package via Intune, PAT, MCM, Software Center or FTP. Perform Application Packaging Scripting in support of department Standards to ensure installed software meets specified guidance and customized installation requirements. Perform Operating System Deployment (OSD) engineering for Windows 11 platforms. These duties include Windows Imaging (WIM) creation, task sequence creation, testing, and publishing. Perform lifecycle application support related to security updates. This duty involves packaging, publishing, performing User Acceptance Testing, and providing Tier 3 software support. Responsibilities include supporting User Acceptance Testing (UAT), troubleshooting deployment issues, creating deployment scripts, and maintaining an application catalog. Creating and maintaining automated application deployment packages. Required Qualifications: Bachelor's degree and 9 years' experience; may accept experience in lieu of degree. Extensive hands-on experience in creating silent installations for Adobe, AutoCAD and Microsoft products. Extensive hands-on experience in preparing and deploying MS cumulative updates to endpoints via Intune. 3-5 years of experience with Microsoft MCM. 1-3 years of experience packaging applications for Windows 11 platforms. Experience working in classified and/or unclassified government environments with greater than 10,000 endpoints. Experience with scripting to include PowerShell and VBScript. Hands-on experience scripting silent installations for COTS/GOTS. Experience packaging applications with various licensing models. Experience working in team environments. Excellent written and verbal communication skills. Capable of working well within a collaborative environment as an integral member of a project team. Must have an Active Top Secret clearance. Must be a U.S. citizen. Preferred Qualifications: Experience with Intune's Delivery Optimization, Microsoft Connected Cache (MCC), Windows Update for Business (WUfB) and enterprise content distribution. Experience developing enterprise reporting using SQL, PowerShell, and Microsoft management platforms. Past experience supporting large government agencies. Experience with Microsoft Operating System Deployment (OSD) to include Task Sequences and WIMs. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
09/09/2026
Staffing Pros, a division of VETS Inc., is recruiting for a full-time Software Packaging Engineer. This senior engineering position requires extensive hands-on experience in packaging, testing, and delivering baseline and non-baseline software to both classified and unclassified government networks. The software will be used on Standard Operating Environment (SOE) devices and made available via Intune, the Software Center, PAT, and/or MCM. The software packaging engineer is responsible for ensuring the interoperability of applications on supported Windows 11 endpoints. The position will have a hybrid telework arrangement with on-site presence three (3) days a week, at a secure government facility in Washington, DC. Work schedule will be Monday through Friday during normal business hours. Work location and schedule are subject to change based on government requirements. Responsibilities: Manage the workflow for packaging requests for baseline and non-baseline applications deployed on the SOE platforms on the unclassified and classified networks. This duty involves close coordination with application owners to build, test, perform user acceptance, and publish the package via Intune, PAT, MCM, Software Center or FTP. Perform Application Packaging Scripting in support of department Standards to ensure installed software meets specified guidance and customized installation requirements. Perform Operating System Deployment (OSD) engineering for Windows 11 platforms. These duties include Windows Imaging (WIM) creation, task sequence creation, testing, and publishing. Perform lifecycle application support related to security updates. This duty involves packaging, publishing, performing User Acceptance Testing, and providing Tier 3 software support. Responsibilities include supporting User Acceptance Testing (UAT), troubleshooting deployment issues, creating deployment scripts, and maintaining an application catalog. Creating and maintaining automated application deployment packages. Required Qualifications: Bachelor's degree and 9 years' experience; may accept experience in lieu of degree. Extensive hands-on experience in creating silent installations for Adobe, AutoCAD and Microsoft products. Extensive hands-on experience in preparing and deploying MS cumulative updates to endpoints via Intune. 3-5 years of experience with Microsoft MCM. 1-3 years of experience packaging applications for Windows 11 platforms. Experience working in classified and/or unclassified government environments with greater than 10,000 endpoints. Experience with scripting to include PowerShell and VBScript. Hands-on experience scripting silent installations for COTS/GOTS. Experience packaging applications with various licensing models. Experience working in team environments. Excellent written and verbal communication skills. Capable of working well within a collaborative environment as an integral member of a project team. Must have an Active Top Secret clearance. Must be a U.S. citizen. Preferred Qualifications: Experience with Intune's Delivery Optimization, Microsoft Connected Cache (MCC), Windows Update for Business (WUfB) and enterprise content distribution. Experience developing enterprise reporting using SQL, PowerShell, and Microsoft management platforms. Past experience supporting large government agencies. Experience with Microsoft Operating System Deployment (OSD) to include Task Sequences and WIMs. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The HILS Application Engineer supports the design, assembly, validation, and test deployment of HILS (Hardware-in-the-Loop Simulation) systems to support vehicle embedded software development. Key Accountabilities Executes software validation test plans to ensure complete coverage of test requirements by a given project development milestone. Supports for the complete design of a HIL Simulator which includes simulator hardware selection, plant model specification and programming, I/O channel selection, and simulator/controller harness design. Prepares test automation scripts to meet testing requirements from the system function team. Accurately reports test results and conditions so that correct system judgments may be made. Documents test conduct and results, problems and resolutions and results of investigations in an established database. Supports Senior Engineers in the design, purchase, and deployment of new HILS systems from suppliers. Collects, implements, and maintains prototype control software and physical system models from related function groups. Qualifications, Experience, and Skills Bachelor's of Science in Mathematics, Computer Science, or Software Engineering or equivalent experience. 0-2 years of relevant experience. Working knowledge of MATLAB/Simulink graphical modelling. Working knowledge of embedded control (real-time), simulators and software is required. Acceptable platforms are dSPACE, National Instruments, Vector, and/or OEM Proprietary Tools. A working knowledge of electrical and signal measurement tools and software is required. Working knowledge of vehicle systems and networks is desired. Python, MATLAB programming skills are desired. Working knowledge of system modelling using CAE (Computer Aided Engineering) and analysis. Strong quantitative/analytical problem-solving skills are required. Ability to work effectively with team members and with peers across the organization. Decision-making skills, able to make sound decisions on mildly complex matters. Ability to multi-task and work with minimal supervision. Effective communication skills (written, verbal and presentation). Ability to manage time effectively and productively. Can clarify and confirm understanding with Team Leaders and staff. Working Conditions Commitment to work necessary work hours to achieve all responsibilities, including overtime and operating periodically at early and late day hours. Must be able to lift 20 lbs. Kneeling, bending, sitting, and, standing. Travel is sometimes required - 5% (International travel may be requested). Office work is split between on-site and remote (Work From Home, WFH). What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/09/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The HILS Application Engineer supports the design, assembly, validation, and test deployment of HILS (Hardware-in-the-Loop Simulation) systems to support vehicle embedded software development. Key Accountabilities Executes software validation test plans to ensure complete coverage of test requirements by a given project development milestone. Supports for the complete design of a HIL Simulator which includes simulator hardware selection, plant model specification and programming, I/O channel selection, and simulator/controller harness design. Prepares test automation scripts to meet testing requirements from the system function team. Accurately reports test results and conditions so that correct system judgments may be made. Documents test conduct and results, problems and resolutions and results of investigations in an established database. Supports Senior Engineers in the design, purchase, and deployment of new HILS systems from suppliers. Collects, implements, and maintains prototype control software and physical system models from related function groups. Qualifications, Experience, and Skills Bachelor's of Science in Mathematics, Computer Science, or Software Engineering or equivalent experience. 0-2 years of relevant experience. Working knowledge of MATLAB/Simulink graphical modelling. Working knowledge of embedded control (real-time), simulators and software is required. Acceptable platforms are dSPACE, National Instruments, Vector, and/or OEM Proprietary Tools. A working knowledge of electrical and signal measurement tools and software is required. Working knowledge of vehicle systems and networks is desired. Python, MATLAB programming skills are desired. Working knowledge of system modelling using CAE (Computer Aided Engineering) and analysis. Strong quantitative/analytical problem-solving skills are required. Ability to work effectively with team members and with peers across the organization. Decision-making skills, able to make sound decisions on mildly complex matters. Ability to multi-task and work with minimal supervision. Effective communication skills (written, verbal and presentation). Ability to manage time effectively and productively. Can clarify and confirm understanding with Team Leaders and staff. Working Conditions Commitment to work necessary work hours to achieve all responsibilities, including overtime and operating periodically at early and late day hours. Must be able to lift 20 lbs. Kneeling, bending, sitting, and, standing. Travel is sometimes required - 5% (International travel may be requested). Office work is split between on-site and remote (Work From Home, WFH). What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize LLMs to run really fast on the Trainium hardware. As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. Key job responsibilities Management and execution against project plans and delivery commitments Manage the day-to-day activities of the engineering team Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team Report on status of development, quality, operations, and model performance to management A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
09/08/2026
Full time
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize LLMs to run really fast on the Trainium hardware. As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. Key job responsibilities Management and execution against project plans and delivery commitments Manage the day-to-day activities of the engineering team Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team Report on status of development, quality, operations, and model performance to management A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. Trainium delivers best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, the Neuron Kernel Interface (NKI) compiler, and a runtime that natively integrates into popular ML frameworks such as PyTorch and JAX. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trainium instances. You can use NKI to develop, optimize, and run new operators directly on NeuronCores while making full use of available compute and memory resources. Explore NKI: - AWS Neuron is used at scale by customers such as Epic Games, Snap, Airbnb, Autodesk, Amazon Alexa, and Amazon Rekognition, along with many others across a range of segments. The Team: The Amazon Annapurna Labs team is responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation, combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. With such breadth of talent, there is opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it makes for a unique learning culture. Learn more about our history: You: We are seeking a talented Software Development Manager with strong leadership and mentoring skills to join our NKI development team. As an SDM III, you will lead a team of experienced compiler engineers developing compiler optimization algorithms and deploying, at scale, a new compiler targeting AWS custom hardware. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron manager, innovating on behalf of our customers. You will draw on knowledge of resource management, scheduling, code generation, optimization, and instruction architectures across CPU, NPU, GPU, and novel forms of compute. You will leverage your technical communication skills to partner with AWS ML services teams and pre-silicon design, and to bring new products and features to market. As deep learning models become more versatile, using compiler technologies to achieve both high performance and high productivity becomes essential. Join the team to build the software that boosts the entire deep learning community. Explore the Product: - - In order to be considered for this role, candidates must be currently located in or willing to relocate to Cupertino, CA. Key job responsibilities - Lead, grow, and mentor a team of compiler engineers, including hiring, career development, and team health - Own execution and delivery of NKI compiler features across release cycles, balancing scope, quality, and timelines - Set technical direction and roadmap for your area of the NKI compiler in partnership with senior engineers - Partner across teams, including frameworks, kernel development, runtime, hardware/pre-silicon design, and product management, to bring new features to market - Drive resolution of complex, high-priority technical issues, staying close enough to the code and hardware to guide the team - Represent your team's work and priorities to senior leadership and cross-organizational stakeholders - Anchor decisions in customer impact, ensuring the team builds what unblocks real ML workloads on Trainium A day in the life No two days look the same on the NKI team, but most blend people leadership, technical depth, and cross-team collaboration. You might start the morning in a 1:1 with an engineer, working through the design of a new compiler optimization or unblocking a tricky scheduling problem. Mid-morning, you join a release sync to check in on branch-cut readiness and make a call on what makes the current train versus the next. After lunch, you catch up with a partner team, kernel developers, runtime, or hardware design, to align on an upcoming feature and its dependencies. In the afternoon, you spend focused time on the roadmap: shaping where NKI is heading over the next few quarters, and translating customer needs into concrete technical investments. You review a design doc, leave feedback that sharpens the team's thinking, and dig into a profiling result yourself to understand where a real workload is leaving performance on the table. You close the day by clearing a path for your team and resolving an escalation, connecting two people who should be talking, or writing up a decision so the team can move fast tomorrow. Throughout, you keep one question at the center: what does this unblock for our customers? You are technically credible enough to earn your team's trust, and you spend your energy on the highest-leverage problems: growing your people, delivering the compiler, and inventing on behalf of the customers who run their most demanding ML workloads on Trainium. About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 2+ years of engineering team management experience - 6+ years of working directly within engineering teams experience - 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - Understanding of compilers (resource management, instruction scheduling, code generation, and compute graph optimization) - Strong software design fundamentals and excellent system-level coding skills PREFERRED QUALIFICATIONS- M.S. or Ph.D. in Computer Science or related technical field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line . click apply for full job details
09/08/2026
Full time
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. Trainium delivers best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, the Neuron Kernel Interface (NKI) compiler, and a runtime that natively integrates into popular ML frameworks such as PyTorch and JAX. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trainium instances. You can use NKI to develop, optimize, and run new operators directly on NeuronCores while making full use of available compute and memory resources. Explore NKI: - AWS Neuron is used at scale by customers such as Epic Games, Snap, Airbnb, Autodesk, Amazon Alexa, and Amazon Rekognition, along with many others across a range of segments. The Team: The Amazon Annapurna Labs team is responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation, combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. With such breadth of talent, there is opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it makes for a unique learning culture. Learn more about our history: You: We are seeking a talented Software Development Manager with strong leadership and mentoring skills to join our NKI development team. As an SDM III, you will lead a team of experienced compiler engineers developing compiler optimization algorithms and deploying, at scale, a new compiler targeting AWS custom hardware. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron manager, innovating on behalf of our customers. You will draw on knowledge of resource management, scheduling, code generation, optimization, and instruction architectures across CPU, NPU, GPU, and novel forms of compute. You will leverage your technical communication skills to partner with AWS ML services teams and pre-silicon design, and to bring new products and features to market. As deep learning models become more versatile, using compiler technologies to achieve both high performance and high productivity becomes essential. Join the team to build the software that boosts the entire deep learning community. Explore the Product: - - In order to be considered for this role, candidates must be currently located in or willing to relocate to Cupertino, CA. Key job responsibilities - Lead, grow, and mentor a team of compiler engineers, including hiring, career development, and team health - Own execution and delivery of NKI compiler features across release cycles, balancing scope, quality, and timelines - Set technical direction and roadmap for your area of the NKI compiler in partnership with senior engineers - Partner across teams, including frameworks, kernel development, runtime, hardware/pre-silicon design, and product management, to bring new features to market - Drive resolution of complex, high-priority technical issues, staying close enough to the code and hardware to guide the team - Represent your team's work and priorities to senior leadership and cross-organizational stakeholders - Anchor decisions in customer impact, ensuring the team builds what unblocks real ML workloads on Trainium A day in the life No two days look the same on the NKI team, but most blend people leadership, technical depth, and cross-team collaboration. You might start the morning in a 1:1 with an engineer, working through the design of a new compiler optimization or unblocking a tricky scheduling problem. Mid-morning, you join a release sync to check in on branch-cut readiness and make a call on what makes the current train versus the next. After lunch, you catch up with a partner team, kernel developers, runtime, or hardware design, to align on an upcoming feature and its dependencies. In the afternoon, you spend focused time on the roadmap: shaping where NKI is heading over the next few quarters, and translating customer needs into concrete technical investments. You review a design doc, leave feedback that sharpens the team's thinking, and dig into a profiling result yourself to understand where a real workload is leaving performance on the table. You close the day by clearing a path for your team and resolving an escalation, connecting two people who should be talking, or writing up a decision so the team can move fast tomorrow. Throughout, you keep one question at the center: what does this unblock for our customers? You are technically credible enough to earn your team's trust, and you spend your energy on the highest-leverage problems: growing your people, delivering the compiler, and inventing on behalf of the customers who run their most demanding ML workloads on Trainium. About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 2+ years of engineering team management experience - 6+ years of working directly within engineering teams experience - 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - Understanding of compilers (resource management, instruction scheduling, code generation, and compute graph optimization) - Strong software design fundamentals and excellent system-level coding skills PREFERRED QUALIFICATIONS- M.S. or Ph.D. in Computer Science or related technical field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line . click apply for full job details
Amazon Development Center U.S., Inc.
Cupertino, California
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform. Own the customer onboarding journey from model evaluation through production training at scale Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools. Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models. Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads. Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies). Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium. Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams. Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- Experience working with PyTorch or JAX software - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - 3+ years of experience in deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) PREFERRED QUALIFICATIONS- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience directly managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with performance analysis, profiling, and optimization for deep learning training workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
09/08/2026
Full time
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform. Own the customer onboarding journey from model evaluation through production training at scale Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools. Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models. Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads. Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies). Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium. Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams. Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- Experience working with PyTorch or JAX software - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - 3+ years of experience in deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) PREFERRED QUALIFICATIONS- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience directly managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with performance analysis, profiling, and optimization for deep learning training workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
The Alexa+ team seeks an experienced Senior Solutions Architect to drive strategic adoption of Alexa+ across Tier-1 partners, and shape the future of Generative AI integrations at scale. Powered by GenAI, Alexa+ is your new personal AI assistant that gets things done - she's smarter, more conversational, more capable, and is available across our family of devices: screened, non-screened, mobile, FireTV, and to name a few. Rebuilt from the ground up, this new version of Alexa uses a state-of-the-art architecture that automatically connects a variety of large language models (LLMs), agentic capabilities, services, and devices at scale. In your role as voice of the developer, and representing Amazon as a senior technical leader, you'll manage relationships with customer senior leadership, providing technical consultation to key development partners, and lead complex projects with cross-team impact. Responsibilities include proactively identifying future trends and product gaps, developing reusable architectural frameworks to accelerate adoption, and establishing best practices that empower the broader SA community. This position requires operating with a strong product mindset, and leveraging that to translate complex technical concepts into business value for senior leaders while helping partners identify innovative applications for Alexa's capabilities, and make strategic trade-offs to achieve long-term goals. The ideal candidate brings extensive technology solution design experience, proven success leading large-scale cloud architectural implementations, and a track record of driving technical strategy with executive stakeholders. You combine deep technical expertise with strong leadership abilities, enabling you to drive cross-team change, and mentor other architects while building lasting partnerships at the highest levels. Key job responsibilities Technical Innovation & Excellence - Design and establish large-scale solution design and architectural frameworks that drive consistent implementation across multiple partner portfolios - Create reference patterns that simplify complex problems and become adopted both internally and externally - Make high judgment technical decisions independently in ambiguous situations, determining appropriate solution strategies with significant business impact Partner & Business Impact - Drive C-level technical engagement with strategic partners, establishing technology roadmaps that drive Amazon and partner flywheels - Establish scalable processes and frameworks that accelerate adoption across domains, not just individual partners - Influence Alexa+'s customer and developer experience through synthesis of market trends, competitive intelligence, and strategic partner feedback Strategic Leadership & Development - Collaborate with product leadership during early formation stages of new capabilities, directly influencing product requirements and go-to-market strategies - Accelerate SA community development by mentoring junior architects, performing technical promotion assessments, and establishing team best practices - Represent Amazon as a recognized thought leader at major industry events, establishing technical credibility that opens new strategic partnership opportunities A day in the life We're looking for a highly talented and motivated Sr SA to join our Alexa+ team to help bring our partner experiences to life with Generative AI. You'll engage in deep, technical discussions to design solutions, solve problems, and coordinate Alexa+ feature implementations to raise the bar on the customer experience. You'll be acting as voice of the developer with our domain, product and engineering teams to influence roadmaps using strong product insights, data-driven analysis, and a working backwards mindset. About the team Our mission is to source and onboard, delightful, useful, and engaging third party experiences to Alexa+ that helps customers get things done, and drives the Amazon and partner flywheels. We are a diverse group of technologists who bridge the gap between business development (BD), internal product and engineering teams, and customers. BASIC QUALIFICATIONS- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Bachelor's degree in computer science, engineering, mathematics or equivalent - Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration) PREFERRED QUALIFICATIONS- 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Francisco - 176 000.00 USD annually USA, NY, New York - 169 600.00 USD annually USA, TX, Austin - 153 800.00 USD annually USA, WA, Bellevue - 153 800.00 USD annually USA, WA, Seattle - 153 800.00 USD annually
09/08/2026
Full time
The Alexa+ team seeks an experienced Senior Solutions Architect to drive strategic adoption of Alexa+ across Tier-1 partners, and shape the future of Generative AI integrations at scale. Powered by GenAI, Alexa+ is your new personal AI assistant that gets things done - she's smarter, more conversational, more capable, and is available across our family of devices: screened, non-screened, mobile, FireTV, and to name a few. Rebuilt from the ground up, this new version of Alexa uses a state-of-the-art architecture that automatically connects a variety of large language models (LLMs), agentic capabilities, services, and devices at scale. In your role as voice of the developer, and representing Amazon as a senior technical leader, you'll manage relationships with customer senior leadership, providing technical consultation to key development partners, and lead complex projects with cross-team impact. Responsibilities include proactively identifying future trends and product gaps, developing reusable architectural frameworks to accelerate adoption, and establishing best practices that empower the broader SA community. This position requires operating with a strong product mindset, and leveraging that to translate complex technical concepts into business value for senior leaders while helping partners identify innovative applications for Alexa's capabilities, and make strategic trade-offs to achieve long-term goals. The ideal candidate brings extensive technology solution design experience, proven success leading large-scale cloud architectural implementations, and a track record of driving technical strategy with executive stakeholders. You combine deep technical expertise with strong leadership abilities, enabling you to drive cross-team change, and mentor other architects while building lasting partnerships at the highest levels. Key job responsibilities Technical Innovation & Excellence - Design and establish large-scale solution design and architectural frameworks that drive consistent implementation across multiple partner portfolios - Create reference patterns that simplify complex problems and become adopted both internally and externally - Make high judgment technical decisions independently in ambiguous situations, determining appropriate solution strategies with significant business impact Partner & Business Impact - Drive C-level technical engagement with strategic partners, establishing technology roadmaps that drive Amazon and partner flywheels - Establish scalable processes and frameworks that accelerate adoption across domains, not just individual partners - Influence Alexa+'s customer and developer experience through synthesis of market trends, competitive intelligence, and strategic partner feedback Strategic Leadership & Development - Collaborate with product leadership during early formation stages of new capabilities, directly influencing product requirements and go-to-market strategies - Accelerate SA community development by mentoring junior architects, performing technical promotion assessments, and establishing team best practices - Represent Amazon as a recognized thought leader at major industry events, establishing technical credibility that opens new strategic partnership opportunities A day in the life We're looking for a highly talented and motivated Sr SA to join our Alexa+ team to help bring our partner experiences to life with Generative AI. You'll engage in deep, technical discussions to design solutions, solve problems, and coordinate Alexa+ feature implementations to raise the bar on the customer experience. You'll be acting as voice of the developer with our domain, product and engineering teams to influence roadmaps using strong product insights, data-driven analysis, and a working backwards mindset. About the team Our mission is to source and onboard, delightful, useful, and engaging third party experiences to Alexa+ that helps customers get things done, and drives the Amazon and partner flywheels. We are a diverse group of technologists who bridge the gap between business development (BD), internal product and engineering teams, and customers. BASIC QUALIFICATIONS- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Bachelor's degree in computer science, engineering, mathematics or equivalent - Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration) PREFERRED QUALIFICATIONS- 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Francisco - 176 000.00 USD annually USA, NY, New York - 169 600.00 USD annually USA, TX, Austin - 153 800.00 USD annually USA, WA, Bellevue - 153 800.00 USD annually USA, WA, Seattle - 153 800.00 USD annually
RELOCATION ASSISTANCE: Relocation assistance may be 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 Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Staff CORE Systems Engineer to join our team of qualified and diverse individuals and will require 100% on-site work. What You'll get to Do: As a senior member of the Foundational Systems Engineering Team, you will provide technical leadership to programs that transform concepts into fielded systems, driving cross discipline integration and balancing innovative and traditional implementations of systems thinking. You will lead major development efforts for sensors on current and next generation air and sea platforms for various programs. Lead the application and continuous improvement of systems engineering processes to develop solutions that meet and anticipate customer requirements. Own requirements management, including decomposition, allocation, verification, and validation, and ensure traceability across the system lifecycle. Lead the preparation, execution, and closure of major system design reviews (e.g., PDR, CDR, SVR, TRR, PCAs, FCAs), including technical issue resolution and risk retirement. Provide technical direction to cross functional product teams across multiple disciplines and domains to drive design compliance and integration. Serve as the technical authority to ensure system compliance with the program Statement of Work (SOW) and system requirements, identifying and resolving gaps and risks proactively. This position is contingent on contract award, the successful transfer of an active U.S Government Secret clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S Government Secret Clearance. Ability to obtain Special Program Access (SAP). Experience in systems engineering, preferably in the aerospace or defense industries. Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation. Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc. Experience working through the systems engineering process. Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software. Preferred Qualifications: Advanced degrees in Science, Technology, Engineer, or Mathematics or other related technical fields. Active U.S Government Top Secret Clearance or higher with SAP Access and or SCI eligibility. Architecture, CONOPS, and use case development using model-based systems engineering (MBSE) methodologies. Experience effectively communicating and presenting complex technical concepts to project, program, and company management, other technical managers, and customers. Experience supporting an agile development team. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. 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.
09/08/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be 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 Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Staff CORE Systems Engineer to join our team of qualified and diverse individuals and will require 100% on-site work. What You'll get to Do: As a senior member of the Foundational Systems Engineering Team, you will provide technical leadership to programs that transform concepts into fielded systems, driving cross discipline integration and balancing innovative and traditional implementations of systems thinking. You will lead major development efforts for sensors on current and next generation air and sea platforms for various programs. Lead the application and continuous improvement of systems engineering processes to develop solutions that meet and anticipate customer requirements. Own requirements management, including decomposition, allocation, verification, and validation, and ensure traceability across the system lifecycle. Lead the preparation, execution, and closure of major system design reviews (e.g., PDR, CDR, SVR, TRR, PCAs, FCAs), including technical issue resolution and risk retirement. Provide technical direction to cross functional product teams across multiple disciplines and domains to drive design compliance and integration. Serve as the technical authority to ensure system compliance with the program Statement of Work (SOW) and system requirements, identifying and resolving gaps and risks proactively. This position is contingent on contract award, the successful transfer of an active U.S Government Secret clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S Government Secret Clearance. Ability to obtain Special Program Access (SAP). Experience in systems engineering, preferably in the aerospace or defense industries. Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation. Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc. Experience working through the systems engineering process. Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software. Preferred Qualifications: Advanced degrees in Science, Technology, Engineer, or Mathematics or other related technical fields. Active U.S Government Top Secret Clearance or higher with SAP Access and or SCI eligibility. Architecture, CONOPS, and use case development using model-based systems engineering (MBSE) methodologies. Experience effectively communicating and presenting complex technical concepts to project, program, and company management, other technical managers, and customers. Experience supporting an agile development team. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. 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.
Job Description Job Description: Hobbs Brook Real Estate LLC is an innovative commercial real estate leader with a portfolio of forward-thinking, sustainable properties. Shaping the market since 1952, the company acquires, develops, manages, and serves as a valued partner to a variety of stakeholders. Hobbs Brook Real Estate (HBRE) brings unique property visions to life with a commitment to improving both the environment and the community. For additional information, please visit . HBRE is the real estate division of FM. Summary This position is responsible for leading the engineering and facilities operations for a multi-building, Class A office portfolio in Waltham, MA. The Chief Building Engineer oversees daily operations, maintenance, repairs, capital project support, vendor coordination, regulatory compliance, and team development to ensure safe, reliable, efficient, and high-quality building operations. The role partners closely with property management, asset management, finance/accounting, legal, EHS, construction, consultants, vendors, and other internal teams to support operational goals, budget management, tenant service, risk management, emergency preparedness, sustainability initiatives, and compliance with applicable HBRE/FM standards and regulatory requirements. Schedule & Location This is an exempt, office-based position in Waltham, MA. Local travel to nearby HBRE/FM offices or properties may be required based on operational, project, training, or business needs. Key Responsibilities Oversee day-to-day operations, repair, maintenance, and replacement of mechanical, HVAC, electrical, plumbing, fire/life safety, building controls, and other building systems across a Class A office portfolio. Lead, motivate, train, and develop engineering and facilities staff while addressing performance, operational, vendor, and contractor issues as needed. Manage building management systems, work order platforms, and preventative maintenance programs to support efficient operations, tenant service, risk management, and sustainability objectives. Engage and manage vendors, contractors, and consultants for MEP, life safety, site/grounds, capital project, emergency response, and other operational needs. Partner with property management, construction, EHS, FM engineering, HR, legal, finance/accounting, consultants, and vendors to support building operations, capital projects, regulatory compliance, and policy implementation. Assist with annual operating and capital budgets, quarterly reforecasts, maintenance and repair planning, expense management, and financial variance reporting. Review invoices, vendor contracts and payment requisitions for proper documentation in accordance with HBRE/FM accounts payable procedures. Support emergency preparedness, life-safety procedures, fire drills, environmental compliance, risk management, and related training for engineering and facilities staff. Participate in building capital and tenant improvement projects, including commissioning and transition of completed projects to daily operations. Qualifications: Required Work Experience 10+ years of related technical experience, including hands-on experience in HVAC, electrical, plumbing, mechanical, or similar trade work. 4+ years in a leadership or supervisory role. Strong technical knowledge of MEP systems, HVAC, building automation systems, fire/life safety systems, and Class A commercial office building operations. Experience operating BMS systems and energy-saving software applications such as WellStat or comparable platforms. Experience managing technical operations, preventative maintenance, vendor coordination, tenant service, and regulatory compliance in a commercial office environment. Required Skills Strong leadership skills with the ability to lead, mentor, train, and develop building engineers and facilities staff. Effective communication skills, including the ability to present projects, issues, and recommendations to tenants, senior management, vendors, and other stakeholders. Good writing skills to prepare recommendations, develop vendor contracts and preventative maintenance scopes of work, policy and procedures, and other similar types of documents. Strong project management skills, including planning, scheduling, resource coordination, quality control, and follow-through to completion. Excellent analytical and problem-solving skills, with the ability to assess issues, develop solutions, and adjust priorities as business needs evolve. Ability to balance day-to-day operational requirements with broader property goals, budget constraints, tenant service expectations, risk management, and sustainability objectives. Ability to work collaboratively with property management, accounting, construction, legal, EHS, vendors, consultants, and other internal teams. Proficiency with Microsoft Word, Excel, Yardi, building work order software, and related operating platforms. Ability to read and understand blueprints. Highly Preferred Skills Building Engines / Prism experience and/or proficiency with other similar work order systems. Automated Logic Control experience and/or proficiency with other similar building controls systems. Life science building experience, including familiarity with laboratory environments, clean rooms, biosafety levels, and related building systems or facilities operations. Familiarity with BOMA 360 and TOBY programs and requirements for participation. Business acumen and understanding of business administration or project management principles. Adaptability to new technologies and changing regulatory environments. Required Education Associate's degree or equivalent certification from a technical school. Preferred Education / Certifications Bachelor's degree. Universal CFC Certification. Additional certifications in one or more of the following: HVAC, electrical, plumbing, building controls, fire/life safety systems, carpentry, and/or construction supervision. The hiring range for this position is $121,000 to $173,000 annually. Final offers are based on factors such as geographic location, education, skills, and experience. This role is eligible for FM's Total Rewards program, including an incentive plan, health and well-being programs, 401(k) and pension, career development and tuition reimbursement, and time off. Hobbs Brook Management LLC is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
09/08/2026
Full time
Job Description Job Description: Hobbs Brook Real Estate LLC is an innovative commercial real estate leader with a portfolio of forward-thinking, sustainable properties. Shaping the market since 1952, the company acquires, develops, manages, and serves as a valued partner to a variety of stakeholders. Hobbs Brook Real Estate (HBRE) brings unique property visions to life with a commitment to improving both the environment and the community. For additional information, please visit . HBRE is the real estate division of FM. Summary This position is responsible for leading the engineering and facilities operations for a multi-building, Class A office portfolio in Waltham, MA. The Chief Building Engineer oversees daily operations, maintenance, repairs, capital project support, vendor coordination, regulatory compliance, and team development to ensure safe, reliable, efficient, and high-quality building operations. The role partners closely with property management, asset management, finance/accounting, legal, EHS, construction, consultants, vendors, and other internal teams to support operational goals, budget management, tenant service, risk management, emergency preparedness, sustainability initiatives, and compliance with applicable HBRE/FM standards and regulatory requirements. Schedule & Location This is an exempt, office-based position in Waltham, MA. Local travel to nearby HBRE/FM offices or properties may be required based on operational, project, training, or business needs. Key Responsibilities Oversee day-to-day operations, repair, maintenance, and replacement of mechanical, HVAC, electrical, plumbing, fire/life safety, building controls, and other building systems across a Class A office portfolio. Lead, motivate, train, and develop engineering and facilities staff while addressing performance, operational, vendor, and contractor issues as needed. Manage building management systems, work order platforms, and preventative maintenance programs to support efficient operations, tenant service, risk management, and sustainability objectives. Engage and manage vendors, contractors, and consultants for MEP, life safety, site/grounds, capital project, emergency response, and other operational needs. Partner with property management, construction, EHS, FM engineering, HR, legal, finance/accounting, consultants, and vendors to support building operations, capital projects, regulatory compliance, and policy implementation. Assist with annual operating and capital budgets, quarterly reforecasts, maintenance and repair planning, expense management, and financial variance reporting. Review invoices, vendor contracts and payment requisitions for proper documentation in accordance with HBRE/FM accounts payable procedures. Support emergency preparedness, life-safety procedures, fire drills, environmental compliance, risk management, and related training for engineering and facilities staff. Participate in building capital and tenant improvement projects, including commissioning and transition of completed projects to daily operations. Qualifications: Required Work Experience 10+ years of related technical experience, including hands-on experience in HVAC, electrical, plumbing, mechanical, or similar trade work. 4+ years in a leadership or supervisory role. Strong technical knowledge of MEP systems, HVAC, building automation systems, fire/life safety systems, and Class A commercial office building operations. Experience operating BMS systems and energy-saving software applications such as WellStat or comparable platforms. Experience managing technical operations, preventative maintenance, vendor coordination, tenant service, and regulatory compliance in a commercial office environment. Required Skills Strong leadership skills with the ability to lead, mentor, train, and develop building engineers and facilities staff. Effective communication skills, including the ability to present projects, issues, and recommendations to tenants, senior management, vendors, and other stakeholders. Good writing skills to prepare recommendations, develop vendor contracts and preventative maintenance scopes of work, policy and procedures, and other similar types of documents. Strong project management skills, including planning, scheduling, resource coordination, quality control, and follow-through to completion. Excellent analytical and problem-solving skills, with the ability to assess issues, develop solutions, and adjust priorities as business needs evolve. Ability to balance day-to-day operational requirements with broader property goals, budget constraints, tenant service expectations, risk management, and sustainability objectives. Ability to work collaboratively with property management, accounting, construction, legal, EHS, vendors, consultants, and other internal teams. Proficiency with Microsoft Word, Excel, Yardi, building work order software, and related operating platforms. Ability to read and understand blueprints. Highly Preferred Skills Building Engines / Prism experience and/or proficiency with other similar work order systems. Automated Logic Control experience and/or proficiency with other similar building controls systems. Life science building experience, including familiarity with laboratory environments, clean rooms, biosafety levels, and related building systems or facilities operations. Familiarity with BOMA 360 and TOBY programs and requirements for participation. Business acumen and understanding of business administration or project management principles. Adaptability to new technologies and changing regulatory environments. Required Education Associate's degree or equivalent certification from a technical school. Preferred Education / Certifications Bachelor's degree. Universal CFC Certification. Additional certifications in one or more of the following: HVAC, electrical, plumbing, building controls, fire/life safety systems, carpentry, and/or construction supervision. The hiring range for this position is $121,000 to $173,000 annually. Final offers are based on factors such as geographic location, education, skills, and experience. This role is eligible for FM's Total Rewards program, including an incentive plan, health and well-being programs, 401(k) and pension, career development and tuition reimbursement, and time off. Hobbs Brook Management LLC is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Amazon Development Center U.S., Inc.
Cupertino, California
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform. Own the customer onboarding journey from model evaluation through production training at scale Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools. Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models. Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads. Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies). Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium. Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams. Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - Experience working with PyTorch or JAX software - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - 3+ years of experience in deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) PREFERRED QUALIFICATIONS - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience directly managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with performance analysis, profiling, and optimization for deep learning training workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
09/08/2026
Full time
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform. Own the customer onboarding journey from model evaluation through production training at scale Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools. Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models. Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads. Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies). Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium. Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams. Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - Experience working with PyTorch or JAX software - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - 3+ years of experience in deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) PREFERRED QUALIFICATIONS - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience directly managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with performance analysis, profiling, and optimization for deep learning training workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration. Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models. This is a ground-up effort with rapidly evolving hardware and software. We need a senior IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack. Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware. - Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism. - Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets. - Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup. - Own features end-to-end: from design through implementation, testing, and integration into the broader software stack. - Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions. - Mentor engineers, drive design reviews, and raise the engineering bar across the team. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Strong proficiency in C/C++ - Strong Linux systems knowledge - Experience developing compute kernels for GPUs, DSPs, or custom accelerators - Proven track record of owning and delivering complex software features end-to-end PREFERRED QUALIFICATIONS - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT - Familiarity with speculative decoding, KV cache optimization, or other LLM serving optimizations - Experience with distributed systems - collective communication, RDMA, or high-speed interconnect programming - Experience with hardware simulation environments and model validation workflows - Demonstrated early adopter of AI-assisted development tools - uses LLMs or code-generation agents as part of daily workflow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually
09/08/2026
Full time
The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration. Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models. This is a ground-up effort with rapidly evolving hardware and software. We need a senior IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack. Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware. - Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism. - Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets. - Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup. - Own features end-to-end: from design through implementation, testing, and integration into the broader software stack. - Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions. - Mentor engineers, drive design reviews, and raise the engineering bar across the team. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Strong proficiency in C/C++ - Strong Linux systems knowledge - Experience developing compute kernels for GPUs, DSPs, or custom accelerators - Proven track record of owning and delivering complex software features end-to-end PREFERRED QUALIFICATIONS - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT - Familiarity with speculative decoding, KV cache optimization, or other LLM serving optimizations - Experience with distributed systems - collective communication, RDMA, or high-speed interconnect programming - Experience with hardware simulation environments and model validation workflows - Demonstrated early adopter of AI-assisted development tools - uses LLMs or code-generation agents as part of daily workflow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize LLMs to run really fast on the Trainium hardware. As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. Key job responsibilities Management and execution against project plans and delivery commitments Manage the day-to-day activities of the engineering team Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team Report on status of development, quality, operations, and model performance to management A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
09/08/2026
Full time
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize LLMs to run really fast on the Trainium hardware. As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. Key job responsibilities Management and execution against project plans and delivery commitments Manage the day-to-day activities of the engineering team Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team Report on status of development, quality, operations, and model performance to management A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
Job Description Job Description The Research Coordinator provides vital administrative support to project teams to ensure contract requirements are met and maintained. The Research Coordinator will maintain existing data systems and records and supports grant management processes under the guidance of senior staff. ESSENTIAL JOB FUNCTIONS: Maintain and track data to support grant administration. Data may include, but are not limited to: grant application processing and award, enrollment reporting, deployment of monitoring events and training and technical assistance, information collection during monitoring reviews, datasets, dashboards, and reports. Integrate multiple data sources to support grant administration processes. Review existing data systems to check for data quality and ensure that records are maintained to support quality assurance. Follow processes under the guidance of senior staff to review and identify inaccurate data or improperly maintained records. Automate repetitive tasks, maintain reusable data, and work effectively using SQL. Clean, prepare, and validate quantitative and qualitative data to be analyzed by Data Analysts and Data Engineer staff. Support and monitor data collection including programming surveys using Qualtrics and Alchemer. Data collection activity may involve organizing and maintaining data from quantitative and qualitative sources while ensuring quality and accuracy. Monitor tasks and deliverables as set by senior staff to support contract compliance MINIMUM JOB REQUIREMENTS: Education : Bachelor's Degree in Information Management, Library Science or related field from an accredited university or college Experience : 3 years of experience comprising 2 years of focused data management experience with additional experience including a combination of college labs, internships. Skills : Proficient in Excel or Smartsheet Foundational knowledge of SQL Experience leveraging GitHub, managing documentation on Confluence or SharePoint Strong problem solving, analysis, communication, and teamwork skills Excellent organization and time management skills Ability to write clearly and concisely with attention to detail and target audience focus Strong analytical and critical thinking skills Language: English fluency (oral and written) Software Proficiency : Microsoft Office (Excel, Outlook, PowerPoint, Power BI), Smartsheet Project Management (Jira, Confluence, GitHub, ) Foundational Programming in SQL LOCATION: This is an onsite position, you must be able to report to one of the following locations: Philadelphia, PA Washington, DC Denver, CO Kansas City, MO Dallas, TX Atlanta, GA SECURITY CLEARANCE: Ability to pass background investigations as required for access to federal facilities and systems. TRAVEL: up to 10 percent. Physical Requirements Extended Computer Use: Ability to sit for extended periods and operate a computer keyboard and mouse. Vision: Must be able to see and read computer screens and printed materials. Dexterity: Capable of using hands and fingers to operate equipment and perform tasks requiring precision. Communication: Able to effectively communicate verbally and in writing with team members and stakeholders. Mobility: Frequently required to stand, walk, reach, and bend to access office equipment and attend meetings. Lifting: Ability to lift and carry up to 50 pounds for short distances. Sensory Abilities: Must be able to perceive and interact with the environment using hearing and speaking skills. Work Environment: Primarily works in a typical office environment, with exposure to computer screens and moderate noise levels. PREFERRED JOB REQUIREMENTS: Data quality assurance and validation Data governance principles knowledge Document management systems experience Metadata management experience Other Duties Assigned :This position description should not be construed to imply that these requirements are the exclusive standards of the position, nor will it be the sole basis for any subsequent employee evaluations. Incumbents will follow any other instructions and perform any other related duties as may be required by their supervisor. This position is subject to availability of funds and to any and all restrictions contained in the contract or contracts that provide funding for this position. APPLICATION INFORMATION: If you meet the minimum requirements for this position, please click on the "Apply" link posted below and complete the application. Please include cover letter, resume, and at least (3) professional references. Our company is an equal opportunity/affirmative action employer. Applicants can learn more about the company's status as an equal opportunity employer by viewing the federal "EEO" poster at EEOPost.pdf. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status. If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information.
09/07/2026
Full time
Job Description Job Description The Research Coordinator provides vital administrative support to project teams to ensure contract requirements are met and maintained. The Research Coordinator will maintain existing data systems and records and supports grant management processes under the guidance of senior staff. ESSENTIAL JOB FUNCTIONS: Maintain and track data to support grant administration. Data may include, but are not limited to: grant application processing and award, enrollment reporting, deployment of monitoring events and training and technical assistance, information collection during monitoring reviews, datasets, dashboards, and reports. Integrate multiple data sources to support grant administration processes. Review existing data systems to check for data quality and ensure that records are maintained to support quality assurance. Follow processes under the guidance of senior staff to review and identify inaccurate data or improperly maintained records. Automate repetitive tasks, maintain reusable data, and work effectively using SQL. Clean, prepare, and validate quantitative and qualitative data to be analyzed by Data Analysts and Data Engineer staff. Support and monitor data collection including programming surveys using Qualtrics and Alchemer. Data collection activity may involve organizing and maintaining data from quantitative and qualitative sources while ensuring quality and accuracy. Monitor tasks and deliverables as set by senior staff to support contract compliance MINIMUM JOB REQUIREMENTS: Education : Bachelor's Degree in Information Management, Library Science or related field from an accredited university or college Experience : 3 years of experience comprising 2 years of focused data management experience with additional experience including a combination of college labs, internships. Skills : Proficient in Excel or Smartsheet Foundational knowledge of SQL Experience leveraging GitHub, managing documentation on Confluence or SharePoint Strong problem solving, analysis, communication, and teamwork skills Excellent organization and time management skills Ability to write clearly and concisely with attention to detail and target audience focus Strong analytical and critical thinking skills Language: English fluency (oral and written) Software Proficiency : Microsoft Office (Excel, Outlook, PowerPoint, Power BI), Smartsheet Project Management (Jira, Confluence, GitHub, ) Foundational Programming in SQL LOCATION: This is an onsite position, you must be able to report to one of the following locations: Philadelphia, PA Washington, DC Denver, CO Kansas City, MO Dallas, TX Atlanta, GA SECURITY CLEARANCE: Ability to pass background investigations as required for access to federal facilities and systems. TRAVEL: up to 10 percent. Physical Requirements Extended Computer Use: Ability to sit for extended periods and operate a computer keyboard and mouse. Vision: Must be able to see and read computer screens and printed materials. Dexterity: Capable of using hands and fingers to operate equipment and perform tasks requiring precision. Communication: Able to effectively communicate verbally and in writing with team members and stakeholders. Mobility: Frequently required to stand, walk, reach, and bend to access office equipment and attend meetings. Lifting: Ability to lift and carry up to 50 pounds for short distances. Sensory Abilities: Must be able to perceive and interact with the environment using hearing and speaking skills. Work Environment: Primarily works in a typical office environment, with exposure to computer screens and moderate noise levels. PREFERRED JOB REQUIREMENTS: Data quality assurance and validation Data governance principles knowledge Document management systems experience Metadata management experience Other Duties Assigned :This position description should not be construed to imply that these requirements are the exclusive standards of the position, nor will it be the sole basis for any subsequent employee evaluations. Incumbents will follow any other instructions and perform any other related duties as may be required by their supervisor. This position is subject to availability of funds and to any and all restrictions contained in the contract or contracts that provide funding for this position. APPLICATION INFORMATION: If you meet the minimum requirements for this position, please click on the "Apply" link posted below and complete the application. Please include cover letter, resume, and at least (3) professional references. Our company is an equal opportunity/affirmative action employer. Applicants can learn more about the company's status as an equal opportunity employer by viewing the federal "EEO" poster at EEOPost.pdf. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status. If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information.
Job Description Job Description Dark Wolf is seeking a Senior DevSecOps Engineer to support the United States Space Force (USSF) by developing software in support of Space Systems Command (SSC) Defensive Cyber Operations rapid agile development of defensive cyber solutions to protect, defend, and respond to both ground and space based cyber adversarial threats. A successful candidate should be a leader and problem solver with a proven ability to deliver superior results as part of a high performing team in a fast-paced environment. This position requires onsite support at Peterson Air Force Base in Colorado Springs, CO. This team will be based out of Colorado Springs, CO. Key responsibilities include but are nto limited to: Ensuring that development and software continuous delivery and integrations uses security best practices throughout the process. Ensuring capabilities deployed meet security requirements and test. Working with cloud deployment activities to ensure configurations meet STIG or DOD required security standards. Supporting the design, implementation, and management of CI/CD pipelines using tools like Jenkins or GitLab under supervision. Assisting in integrating security protocols within DevSecOps workflows. Collaborating with team members to manage infrastructure and configuration using tools like Terraform and Ansible. Gaining hands-on experience with cloud systems, such as AWS, Google Cloud, or Azure, by supporting deployments and architecture setups. Learning and assisting in software development using Java and Python. Required Qualifications: 10+ years in technical roles related to DevSecOps, development, or system operations Experience with programming languages such as Java, Node/JS, Terraform, Ansible, Chef, Puppet, Python Strong understanding of DevSecOps concepts and tools Exposure to coding, CI/CD tools, or cloud architecture Demonstrated ability to provide technical guidance Bachelors Degree in Computer Science or related discipline SAFe certification for Teams, OR the ability to obtain within 90 days of hire Active Top Secret security clearance Desired Qualifications: Cloud migration experience This position will be fully on-site in Colorado Springs, Colorado. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
09/07/2026
Full time
Job Description Job Description Dark Wolf is seeking a Senior DevSecOps Engineer to support the United States Space Force (USSF) by developing software in support of Space Systems Command (SSC) Defensive Cyber Operations rapid agile development of defensive cyber solutions to protect, defend, and respond to both ground and space based cyber adversarial threats. A successful candidate should be a leader and problem solver with a proven ability to deliver superior results as part of a high performing team in a fast-paced environment. This position requires onsite support at Peterson Air Force Base in Colorado Springs, CO. This team will be based out of Colorado Springs, CO. Key responsibilities include but are nto limited to: Ensuring that development and software continuous delivery and integrations uses security best practices throughout the process. Ensuring capabilities deployed meet security requirements and test. Working with cloud deployment activities to ensure configurations meet STIG or DOD required security standards. Supporting the design, implementation, and management of CI/CD pipelines using tools like Jenkins or GitLab under supervision. Assisting in integrating security protocols within DevSecOps workflows. Collaborating with team members to manage infrastructure and configuration using tools like Terraform and Ansible. Gaining hands-on experience with cloud systems, such as AWS, Google Cloud, or Azure, by supporting deployments and architecture setups. Learning and assisting in software development using Java and Python. Required Qualifications: 10+ years in technical roles related to DevSecOps, development, or system operations Experience with programming languages such as Java, Node/JS, Terraform, Ansible, Chef, Puppet, Python Strong understanding of DevSecOps concepts and tools Exposure to coding, CI/CD tools, or cloud architecture Demonstrated ability to provide technical guidance Bachelors Degree in Computer Science or related discipline SAFe certification for Teams, OR the ability to obtain within 90 days of hire Active Top Secret security clearance Desired Qualifications: Cloud migration experience This position will be fully on-site in Colorado Springs, Colorado. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Job Description About the Job: Northwestern Mutual is looking for enthusiastic technologists who want to grow their career in DevSecOps - Application & Cloud Security. You're the right fit if you love to solve problems and are always striving to learn new things. We're looking for self-motivated and self-driven engineers who are passionate about what they do and love cybersecurity. Your knowledge in application security, DevSecOps practices, and cloud technologies will be instrumental in further maturing our application and cloud security posture throughout the Enterprise. In this position, you will work with cross-functional teams across a set of diverse technologies to manage application and cloud security tools with an automation-first mindset. You will work in an agile and innovative environment, solving complex problems and collaborating with architects and engineers to ensure the safety and security of Northwestern Mutual's applications. What You'll Bring to the Role: Passionate about security A team player who enjoys collaborating with cross-functional teams A great communicator (written and verbal) with an ability to articulate complex topics in a clear and concise manner Employs a flexible and constructive approach when solving problems Proficient with development and scripting languages, Python and JavaScript preferred Bachelor's or equivalent experience with an emphasis in computer science, computer engineering, software engineering, MIS related field 4+ years' experience with cloud technologies and CICD pipelines (AWS, Gitlab CI, Kubernetes) 5+ years' experience in development, infrastructure, or cybersecurity Experience conducting security tests (static and dynamic code analysis, software composition analysis, or penetration tests) Experience with modern DevOps development practices Experience with CICD pipelines to automate application and infrastructure-as-code deployments Continuously looking for opportunities to improve our processes and capabilities Experienced working with application and engineering teams A self-directed individual contributor What you'll get to do: Engineer solutions with a focus on automation to reduce manual and repetitive tasks Guide and advise application and engineering teams in the areas of Application and Cloud Security Operationally support Application & Cloud Security tools integrated into our software development lifecycle. Examples include SAST, DAST, SCA, CSPM, and infrastructure vulnerability scanners Actively monitor, assess and recommend tactical and strategic initiatives based on new and emerging threats posing risk to our company Stay apprised of current and proposed security changes impacting regulatory, privacy and security industry best practices Implement remediation efforts after security assessment findings outline weaknesses requiring attention Mentor other staff members to ensure consistency, quality and productivity of deliverables Further impress us with: Your passion for all things security Your ability to employ a flexible and constructive approach to solving problems Knowledge of application and cloud security principles Experience with implementing secure-by-default architecture Experience automating and improving manual processes Relevant certifications from GIAC, ISC(2) and other recognized cybersecurity industry organizations Skills You Have: Application Security - Introduces security standards during application development and implements security procedures to protect applications in production. Utilizes knowledge to implement authentication for applications that contain sensitive data. Ensures that no PII/PCI information is logged. Conducts PenTest for external facing apps. Adaptive Communication - Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences. Cloud Security - Creates a set of policies, technologies, applications, and controls across the cloud ecosystem to protect virtualized IP, data, and the cloud computing infrastructure. DevOps - Applies continuous integration and delivery to implement applications and services at a higher velocity. Engineering Expertise & Practices - Applies specialized experiences in different facets of engineering, including data, applications, cyber, systems, operations, product, security, and testing, along with technical aptitude to adapt new expertise as they become relevant through an understanding of underlying engineering principles. Threat Awareness - Utilizes knowledge of threats to support tracking of common and emerging security threats to increase awareness of potential risks and the protections against them. Vulnerability Assessment & Management - Conducts assessments of threats and vulnerabilities to identify the technical outcome if a vulnerability is exploited and determines deviations from acceptable configurations, enterprise or local policy; assesses the level of risk and develops and/or recommends appropriate mitigation countermeasures in operational and nonoperational situations. Compensation Range: Pay Range - Start: $118,960.00 Pay Range - End: $178,440.00 Geographic Specific Pay Structure: Structure 110: Structure 115: We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Cloud Security (NM) - Intermediate, DevOps (NM) - Advanced, Vulnerability Assessment & Management (NM) - Intermediate, Application Security (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Threat Awareness (NM) - Advanced FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic.
09/07/2026
Full time
Job Description About the Job: Northwestern Mutual is looking for enthusiastic technologists who want to grow their career in DevSecOps - Application & Cloud Security. You're the right fit if you love to solve problems and are always striving to learn new things. We're looking for self-motivated and self-driven engineers who are passionate about what they do and love cybersecurity. Your knowledge in application security, DevSecOps practices, and cloud technologies will be instrumental in further maturing our application and cloud security posture throughout the Enterprise. In this position, you will work with cross-functional teams across a set of diverse technologies to manage application and cloud security tools with an automation-first mindset. You will work in an agile and innovative environment, solving complex problems and collaborating with architects and engineers to ensure the safety and security of Northwestern Mutual's applications. What You'll Bring to the Role: Passionate about security A team player who enjoys collaborating with cross-functional teams A great communicator (written and verbal) with an ability to articulate complex topics in a clear and concise manner Employs a flexible and constructive approach when solving problems Proficient with development and scripting languages, Python and JavaScript preferred Bachelor's or equivalent experience with an emphasis in computer science, computer engineering, software engineering, MIS related field 4+ years' experience with cloud technologies and CICD pipelines (AWS, Gitlab CI, Kubernetes) 5+ years' experience in development, infrastructure, or cybersecurity Experience conducting security tests (static and dynamic code analysis, software composition analysis, or penetration tests) Experience with modern DevOps development practices Experience with CICD pipelines to automate application and infrastructure-as-code deployments Continuously looking for opportunities to improve our processes and capabilities Experienced working with application and engineering teams A self-directed individual contributor What you'll get to do: Engineer solutions with a focus on automation to reduce manual and repetitive tasks Guide and advise application and engineering teams in the areas of Application and Cloud Security Operationally support Application & Cloud Security tools integrated into our software development lifecycle. Examples include SAST, DAST, SCA, CSPM, and infrastructure vulnerability scanners Actively monitor, assess and recommend tactical and strategic initiatives based on new and emerging threats posing risk to our company Stay apprised of current and proposed security changes impacting regulatory, privacy and security industry best practices Implement remediation efforts after security assessment findings outline weaknesses requiring attention Mentor other staff members to ensure consistency, quality and productivity of deliverables Further impress us with: Your passion for all things security Your ability to employ a flexible and constructive approach to solving problems Knowledge of application and cloud security principles Experience with implementing secure-by-default architecture Experience automating and improving manual processes Relevant certifications from GIAC, ISC(2) and other recognized cybersecurity industry organizations Skills You Have: Application Security - Introduces security standards during application development and implements security procedures to protect applications in production. Utilizes knowledge to implement authentication for applications that contain sensitive data. Ensures that no PII/PCI information is logged. Conducts PenTest for external facing apps. Adaptive Communication - Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences. Cloud Security - Creates a set of policies, technologies, applications, and controls across the cloud ecosystem to protect virtualized IP, data, and the cloud computing infrastructure. DevOps - Applies continuous integration and delivery to implement applications and services at a higher velocity. Engineering Expertise & Practices - Applies specialized experiences in different facets of engineering, including data, applications, cyber, systems, operations, product, security, and testing, along with technical aptitude to adapt new expertise as they become relevant through an understanding of underlying engineering principles. Threat Awareness - Utilizes knowledge of threats to support tracking of common and emerging security threats to increase awareness of potential risks and the protections against them. Vulnerability Assessment & Management - Conducts assessments of threats and vulnerabilities to identify the technical outcome if a vulnerability is exploited and determines deviations from acceptable configurations, enterprise or local policy; assesses the level of risk and develops and/or recommends appropriate mitigation countermeasures in operational and nonoperational situations. Compensation Range: Pay Range - Start: $118,960.00 Pay Range - End: $178,440.00 Geographic Specific Pay Structure: Structure 110: Structure 115: We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Cloud Security (NM) - Intermediate, DevOps (NM) - Advanced, Vulnerability Assessment & Management (NM) - Intermediate, Application Security (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Threat Awareness (NM) - Advanced FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic.
Job Description What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The HILS Application Engineer supports the design, assembly, validation, and test deployment of HILS (Hardware-in-the-Loop Simulation) systems to support vehicle embedded software development. Key Accountabilities Executes software validation test plans to ensure complete coverage of test requirements by a given project development milestone. Supports for the complete design of a HIL Simulator which includes simulator hardware selection, plant model specification and programming, I/O channel selection, and simulator/controller harness design. Prepares test automation scripts to meet testing requirements from the system function team. Accurately reports test results and conditions so that correct system judgments may be made. Documents test conduct and results, problems and resolutions and results of investigations in an established database. Supports Senior Engineers in the design, purchase, and deployment of new HILS systems from suppliers. Collects, implements, and maintains prototype control software and physical system models from related function groups. Qualifications, Experience, and Skills Bachelor's of Science in Mathematics, Computer Science, or Software Engineering or equivalent experience. 0-2 years of relevant experience. Working knowledge of MATLAB/Simulink graphical modelling. Working knowledge of embedded control (real-time), simulators and software is required. Acceptable platforms are dSPACE, National Instruments, Vector, and/or OEM Proprietary Tools. A working knowledge of electrical and signal measurement tools and software is required. Working knowledge of vehicle systems and networks is desired. Python, MATLAB programming skills are desired. Working knowledge of system modelling using CAE (Computer Aided Engineering) and analysis. Strong quantitative/analytical problem-solving skills are required. Ability to work effectively with team members and with peers across the organization. Decision-making skills, able to make sound decisions on mildly complex matters. Ability to multi-task and work with minimal supervision. Effective communication skills (written, verbal and presentation). Ability to manage time effectively and productively. Can clarify and confirm understanding with Team Leaders and staff. Working Conditions Commitment to work necessary work hours to achieve all responsibilities, including overtime and operating periodically at early and late day hours. Must be able to lift 20 lbs. Kneeling, bending, sitting, and, standing. Travel is sometimes required - 5% (International travel may be requested). Office work is split between on-site and remote (Work From Home, WFH). What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/07/2026
Full time
Job Description What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The HILS Application Engineer supports the design, assembly, validation, and test deployment of HILS (Hardware-in-the-Loop Simulation) systems to support vehicle embedded software development. Key Accountabilities Executes software validation test plans to ensure complete coverage of test requirements by a given project development milestone. Supports for the complete design of a HIL Simulator which includes simulator hardware selection, plant model specification and programming, I/O channel selection, and simulator/controller harness design. Prepares test automation scripts to meet testing requirements from the system function team. Accurately reports test results and conditions so that correct system judgments may be made. Documents test conduct and results, problems and resolutions and results of investigations in an established database. Supports Senior Engineers in the design, purchase, and deployment of new HILS systems from suppliers. Collects, implements, and maintains prototype control software and physical system models from related function groups. Qualifications, Experience, and Skills Bachelor's of Science in Mathematics, Computer Science, or Software Engineering or equivalent experience. 0-2 years of relevant experience. Working knowledge of MATLAB/Simulink graphical modelling. Working knowledge of embedded control (real-time), simulators and software is required. Acceptable platforms are dSPACE, National Instruments, Vector, and/or OEM Proprietary Tools. A working knowledge of electrical and signal measurement tools and software is required. Working knowledge of vehicle systems and networks is desired. Python, MATLAB programming skills are desired. Working knowledge of system modelling using CAE (Computer Aided Engineering) and analysis. Strong quantitative/analytical problem-solving skills are required. Ability to work effectively with team members and with peers across the organization. Decision-making skills, able to make sound decisions on mildly complex matters. Ability to multi-task and work with minimal supervision. Effective communication skills (written, verbal and presentation). Ability to manage time effectively and productively. Can clarify and confirm understanding with Team Leaders and staff. Working Conditions Commitment to work necessary work hours to achieve all responsibilities, including overtime and operating periodically at early and late day hours. Must be able to lift 20 lbs. Kneeling, bending, sitting, and, standing. Travel is sometimes required - 5% (International travel may be requested). Office work is split between on-site and remote (Work From Home, WFH). What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS) intersecting Health Programs. This role requires hands on technical expertise and strong communication skills. Responsibilities include but are not limited to: Responsibilities of this role are as follows, to include but not limited to: Extract performance improvement and data quality indicators dataset to assist leadership to assess achievement of strategic goals. Analyze data and trends of patient population and conversion into actionable information. Use analytics to compile and trend patient population health status, costs and quality of care. Data extraction, categorization, mining, simulation, optimization and presentation. Development of solutions to extract, collect and store data sets and metadata. Utilize data analytic software and tools to process and manipulate large datasets and metadata, such as Tableau, SAS, WPS, SPAA, Advance Excel functionality and similar software Knowledge and proficiency in standard languages such as SQL and Visual Basic to retrieve data and interface with other systems. Import data into other software to analyze Exploratory graphical and data analysis and correlations among variables Provides professionally designed reports to support leadership and management insight, strategic planning and decision making, Preparing and validating data for file transfer protocol and transmission. Utilize Access Database and Excel to import data for manipulation and analysis Manage multiple, complex projects. Coordinate projects from the concept stage to completion. What You Will Need Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Master's degree in Data Analytics, Information Governance, Information Management, Informatics, Health Information Technology or STEM Field FIVE (5) or more years of experience working within a health data analytic, information governance, information management or informatics role with similar duties Ability to work effectively in a client-facing environment and collaborate with both internal and external stakeholders What Would Be Nice To Have Strong foundational knowledge in information systems in healthcare Strong analytical and problem-solving skills with the ability to work across varied assignments Strong written and verbal communication skills Knowledge and understanding of the Health Level Seven framework and standards for data. Active DHS Public Trust Experience with Databricks Experience with automation tools such as PowerApps and UiPath Strong communication skills with the ability for oral and written communication with senior levels of management and the Customer What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
09/07/2026
Full time
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS) intersecting Health Programs. This role requires hands on technical expertise and strong communication skills. Responsibilities include but are not limited to: Responsibilities of this role are as follows, to include but not limited to: Extract performance improvement and data quality indicators dataset to assist leadership to assess achievement of strategic goals. Analyze data and trends of patient population and conversion into actionable information. Use analytics to compile and trend patient population health status, costs and quality of care. Data extraction, categorization, mining, simulation, optimization and presentation. Development of solutions to extract, collect and store data sets and metadata. Utilize data analytic software and tools to process and manipulate large datasets and metadata, such as Tableau, SAS, WPS, SPAA, Advance Excel functionality and similar software Knowledge and proficiency in standard languages such as SQL and Visual Basic to retrieve data and interface with other systems. Import data into other software to analyze Exploratory graphical and data analysis and correlations among variables Provides professionally designed reports to support leadership and management insight, strategic planning and decision making, Preparing and validating data for file transfer protocol and transmission. Utilize Access Database and Excel to import data for manipulation and analysis Manage multiple, complex projects. Coordinate projects from the concept stage to completion. What You Will Need Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Master's degree in Data Analytics, Information Governance, Information Management, Informatics, Health Information Technology or STEM Field FIVE (5) or more years of experience working within a health data analytic, information governance, information management or informatics role with similar duties Ability to work effectively in a client-facing environment and collaborate with both internal and external stakeholders What Would Be Nice To Have Strong foundational knowledge in information systems in healthcare Strong analytical and problem-solving skills with the ability to work across varied assignments Strong written and verbal communication skills Knowledge and understanding of the Health Level Seven framework and standards for data. Active DHS Public Trust Experience with Databricks Experience with automation tools such as PowerApps and UiPath Strong communication skills with the ability for oral and written communication with senior levels of management and the Customer What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Family: Technology Consulting Travel Required: None Clearance Required: Active Top Secret (TS) Guidehouse is seeking an experienced Senior Network Engineer to design, install, configure, and document a standalone Cisco-based network in a dedicated lab environment. The ideal candidate brings hands-on experience deploying complex enterprise network solutions, deep familiarity with Cisco technologies, and strong operational discipline in building secure, reliable, and fully documented networks. The Senior Network Engineer will be responsible for: Designing, installing, and configuring a standalone Cisco network tailored for a lab environment. Deploying and configuring: Cisco ACI fabric, Cisco SDA (Software-Defined Access) networks, Cisco wireless access points, Firewall uplinks and associated security zones. Implementing best practices for segmentation, access control, and network performance. Standing up and configuring foundational enterprise services, including DNS, DHCP, Active Directory Producing detailed system documentation including network diagrams, configuration baselines, operational procedures, and test results. Ensuring all configurations adhere to Guidehouse quality standards and any client-specific requirements. Conducting functional and performance testing. Ensuring successful integration between network components. Troubleshooting and resolving complex issues across multiple layers. Working closely with internal stakeholders, project leads, and technical teams. Providing status updates, risk identification, and recommendations throughout the build. What You Will Do: Interface directly with clients to define IT project requirements. Implement project documentation governance aligned with company and client requirements. Track progress of project against goals, objectives, approved budgets, approved timelines. Implement change management routines to assess change requests, make recommendations, secure client approvals, and issue change orders. Assesses change requests to determine impacts to scope, budget, schedule, quality, and risk. Demonstrate ability to identify complex project risks, lead constructability reviews, develop risk mitigation and contingency plans, and implement action plans to reduce or eliminate project risks. Make decisions with in-depth understanding and interpretation of procedures, organizational policies, and business practices to achieve general results. Responsible for setting department deadlines. Draw upon the analysis of others and makes recommendations that have a direct impact on the company. Other duties as assigned. What You Will Need: Bachelor's degree (Relevant experience may be substituted for formal education or advanced degree. US Citizenship is required. FIVE (5) + years of related experience and/or training. An ACTIVE TOP SECRET federal security clearance. Ability to comprehend, analyze, and interpret the most complex business/IT documents. Ability to write reports, manuals, speeches, and articles using distinctive style. What Would Be Nice To Have: CCNA, CCNP or CCIE highly preferred. Advanced skills with Microsoft Office Suite. Ability to read and understand architectural drawings and network diagrams Ability to solve advanced problems and deal with a variety of options in complex situations. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
09/07/2026
Full time
Job Family: Technology Consulting Travel Required: None Clearance Required: Active Top Secret (TS) Guidehouse is seeking an experienced Senior Network Engineer to design, install, configure, and document a standalone Cisco-based network in a dedicated lab environment. The ideal candidate brings hands-on experience deploying complex enterprise network solutions, deep familiarity with Cisco technologies, and strong operational discipline in building secure, reliable, and fully documented networks. The Senior Network Engineer will be responsible for: Designing, installing, and configuring a standalone Cisco network tailored for a lab environment. Deploying and configuring: Cisco ACI fabric, Cisco SDA (Software-Defined Access) networks, Cisco wireless access points, Firewall uplinks and associated security zones. Implementing best practices for segmentation, access control, and network performance. Standing up and configuring foundational enterprise services, including DNS, DHCP, Active Directory Producing detailed system documentation including network diagrams, configuration baselines, operational procedures, and test results. Ensuring all configurations adhere to Guidehouse quality standards and any client-specific requirements. Conducting functional and performance testing. Ensuring successful integration between network components. Troubleshooting and resolving complex issues across multiple layers. Working closely with internal stakeholders, project leads, and technical teams. Providing status updates, risk identification, and recommendations throughout the build. What You Will Do: Interface directly with clients to define IT project requirements. Implement project documentation governance aligned with company and client requirements. Track progress of project against goals, objectives, approved budgets, approved timelines. Implement change management routines to assess change requests, make recommendations, secure client approvals, and issue change orders. Assesses change requests to determine impacts to scope, budget, schedule, quality, and risk. Demonstrate ability to identify complex project risks, lead constructability reviews, develop risk mitigation and contingency plans, and implement action plans to reduce or eliminate project risks. Make decisions with in-depth understanding and interpretation of procedures, organizational policies, and business practices to achieve general results. Responsible for setting department deadlines. Draw upon the analysis of others and makes recommendations that have a direct impact on the company. Other duties as assigned. What You Will Need: Bachelor's degree (Relevant experience may be substituted for formal education or advanced degree. US Citizenship is required. FIVE (5) + years of related experience and/or training. An ACTIVE TOP SECRET federal security clearance. Ability to comprehend, analyze, and interpret the most complex business/IT documents. Ability to write reports, manuals, speeches, and articles using distinctive style. What Would Be Nice To Have: CCNA, CCNP or CCIE highly preferred. Advanced skills with Microsoft Office Suite. Ability to read and understand architectural drawings and network diagrams Ability to solve advanced problems and deal with a variety of options in complex situations. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
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: Senior Manager, Software Engineer Job Code: 39849 Job Location: Colorado Springs, CO Job Schedule: 9/80 Job Description: The Technical Manager - Software, Integration & Test Engineering leads and directs a multi-discipline engineering team of approximately 20-30 engineers of various levels of experience across software development, systems integration, verification, validation, and test. This leader must possess extensive knowledge of Software Engineering, Integration and Test Engineering, and associated principles of software development, system integration, verification, validation, and test execution for complex engineering solutions. Provides technical guidance and leadership to subordinate engineers and maintains proper staffing levels and domain expertise to meet business objectives. Develops and conducts programs in accordance with program contractual requirements, company policies, priorities, and budget constraints. Contributes directly to program performance by leveraging technical expertise and experience in software solution architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Leads root cause and corrective action investigations, provides independent review team perspectives, and participates in program reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment, lab/test assets, and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, products, and test capabilities. Manages the implementation of the technical strategy for Software Engineering and Integration & Test and establishes short-term operational plans with measurable contribution to function and program results. Meets functional requirements for hiring, staffing, training, talent development, engagement, retention, and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules and resolve technical or operational problems spanning software development, system integration, lab execution, verification, and field support. Exerts influence the development of overall objectives and short-term operational plans of the organization. Frequently contacts equivalent-level managers, customer representatives, and program stakeholders concerning projects, operational decisions, scheduling requirements, contractual clarifications, test readiness, system integration planning, and talent development. Works to influence others to accept the function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, Systems Engineering, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, test infrastructure planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, and solve execution and technical challenges on time and within budget. Essential Functions: Lead a multi-discipline engineering team across software development, software integration, system integration, verification, validation, and test to meet customer requirements within allocated cost/scope/schedule commitments. Provide technical and organizational leadership for software development and Integration & Test activities across the full lifecycle, including requirements analysis, architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Oversee planning and execution of integration and test efforts, including test strategy, test readiness, test procedures, test automation, test environments, lab resources, troubleshooting, defect tracking, and requirements sell-off. Participate in architecture, design, code, integration, and test readiness reviews. Collaborate with Systems Engineering, Hardware Engineering, Manufacturing, Quality, Program Management, and Operations to develop reliable, supportable, and testable solutions. Ensure the team follows disciplined engineering and development processes, including Agile software development, systems integration processes, verification planning, and formal test execution practices. Support software and integrated system troubleshooting for units under test, deployed systems, and operational assets, as applicable. Communicate with leadership on status, issues, milestones, technical performance, integration readiness, test results, and successes. Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, verification closure, discrepancy resolution, and customer acceptance activities. Drive root cause analysis and corrective action for software, system, and test anomalies. Support development and maintenance of labs, test tools, test automation frameworks, simulators, emulators, and hardware/software integration environments. Lead staffing, mentoring, career development, and performance management for engineers across multiple disciplines. These positions require you to obtain a DoD TS/SCI Clearance, which requires U.S. Citizenship. Lead and support technical proposal development and review for government programs, including solicitation analysis, compliance assessment, technical solution development, cross-functional coordination, risk identification, basis of estimate support, and proposal content review to ensure quality, accuracy, and executable planning. Qualifications: Bachelor's Degree and minimum 12 years prior related experience, including substantial background in software development, system integration, and/or verification and test. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. 3 years of management and leadership experience with demonstrated success leading technical teams across full product lifecycle development, including executing performance appraisals, managing staffing allocation, process leadership, and career development. 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, Kanban, and TDD. 5 years of experience with DevSecOps and a proven track record leading teams to leverage CI/CD pipelines and automated build/test capabilities. 8 years of experience leading or contributing to engineering development through various phases including design, coding, integration, deployment, sustainment, verification, and test. Experience with system integration, verification, validation, test planning, test execution, defect tracking, and troubleshooting in complex development environments. Ability to acquire Top Secret Clearance. Preferred Additional Skills: Experience as a Lead Software Engineer, Integration Lead, Test Lead, Chief Engineer, or Subject Matter Expert on a product development effort. Software development and/or integration and test experience with OOD, UML, C/C++, Java, scripting, test automation, and web development. Experience developing or leading Enterprise Software Systems with high availability requirements. Experience with hardware/software integration, system test, lab architecture, environmental test coordination, and qualification/certification support. Experience with automated test frameworks, test orchestration, data collection, log analysis, and requirements verification/traceability tools. Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills. High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, engineering performance metrics, and test effectiveness metrics Certified SCRUM Master, Product Owner, Release Train Engineer, Coach, and/or relevant test or quality certifications. Experience with lab/resource planning, capital planning for test infrastructure, and cross-functional coordination for integration events and formal test campaigns. Familiarity with regulated, mission-critical . click apply for full job details
09/07/2026
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: Senior Manager, Software Engineer Job Code: 39849 Job Location: Colorado Springs, CO Job Schedule: 9/80 Job Description: The Technical Manager - Software, Integration & Test Engineering leads and directs a multi-discipline engineering team of approximately 20-30 engineers of various levels of experience across software development, systems integration, verification, validation, and test. This leader must possess extensive knowledge of Software Engineering, Integration and Test Engineering, and associated principles of software development, system integration, verification, validation, and test execution for complex engineering solutions. Provides technical guidance and leadership to subordinate engineers and maintains proper staffing levels and domain expertise to meet business objectives. Develops and conducts programs in accordance with program contractual requirements, company policies, priorities, and budget constraints. Contributes directly to program performance by leveraging technical expertise and experience in software solution architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Leads root cause and corrective action investigations, provides independent review team perspectives, and participates in program reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment, lab/test assets, and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, products, and test capabilities. Manages the implementation of the technical strategy for Software Engineering and Integration & Test and establishes short-term operational plans with measurable contribution to function and program results. Meets functional requirements for hiring, staffing, training, talent development, engagement, retention, and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules and resolve technical or operational problems spanning software development, system integration, lab execution, verification, and field support. Exerts influence the development of overall objectives and short-term operational plans of the organization. Frequently contacts equivalent-level managers, customer representatives, and program stakeholders concerning projects, operational decisions, scheduling requirements, contractual clarifications, test readiness, system integration planning, and talent development. Works to influence others to accept the function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, Systems Engineering, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, test infrastructure planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, and solve execution and technical challenges on time and within budget. Essential Functions: Lead a multi-discipline engineering team across software development, software integration, system integration, verification, validation, and test to meet customer requirements within allocated cost/scope/schedule commitments. Provide technical and organizational leadership for software development and Integration & Test activities across the full lifecycle, including requirements analysis, architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Oversee planning and execution of integration and test efforts, including test strategy, test readiness, test procedures, test automation, test environments, lab resources, troubleshooting, defect tracking, and requirements sell-off. Participate in architecture, design, code, integration, and test readiness reviews. Collaborate with Systems Engineering, Hardware Engineering, Manufacturing, Quality, Program Management, and Operations to develop reliable, supportable, and testable solutions. Ensure the team follows disciplined engineering and development processes, including Agile software development, systems integration processes, verification planning, and formal test execution practices. Support software and integrated system troubleshooting for units under test, deployed systems, and operational assets, as applicable. Communicate with leadership on status, issues, milestones, technical performance, integration readiness, test results, and successes. Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, verification closure, discrepancy resolution, and customer acceptance activities. Drive root cause analysis and corrective action for software, system, and test anomalies. Support development and maintenance of labs, test tools, test automation frameworks, simulators, emulators, and hardware/software integration environments. Lead staffing, mentoring, career development, and performance management for engineers across multiple disciplines. These positions require you to obtain a DoD TS/SCI Clearance, which requires U.S. Citizenship. Lead and support technical proposal development and review for government programs, including solicitation analysis, compliance assessment, technical solution development, cross-functional coordination, risk identification, basis of estimate support, and proposal content review to ensure quality, accuracy, and executable planning. Qualifications: Bachelor's Degree and minimum 12 years prior related experience, including substantial background in software development, system integration, and/or verification and test. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. 3 years of management and leadership experience with demonstrated success leading technical teams across full product lifecycle development, including executing performance appraisals, managing staffing allocation, process leadership, and career development. 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, Kanban, and TDD. 5 years of experience with DevSecOps and a proven track record leading teams to leverage CI/CD pipelines and automated build/test capabilities. 8 years of experience leading or contributing to engineering development through various phases including design, coding, integration, deployment, sustainment, verification, and test. Experience with system integration, verification, validation, test planning, test execution, defect tracking, and troubleshooting in complex development environments. Ability to acquire Top Secret Clearance. Preferred Additional Skills: Experience as a Lead Software Engineer, Integration Lead, Test Lead, Chief Engineer, or Subject Matter Expert on a product development effort. Software development and/or integration and test experience with OOD, UML, C/C++, Java, scripting, test automation, and web development. Experience developing or leading Enterprise Software Systems with high availability requirements. Experience with hardware/software integration, system test, lab architecture, environmental test coordination, and qualification/certification support. Experience with automated test frameworks, test orchestration, data collection, log analysis, and requirements verification/traceability tools. Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills. High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, engineering performance metrics, and test effectiveness metrics Certified SCRUM Master, Product Owner, Release Train Engineer, Coach, and/or relevant test or quality certifications. Experience with lab/resource planning, capital planning for test infrastructure, and cross-functional coordination for integration events and formal test campaigns. Familiarity with regulated, mission-critical . click apply for full job details
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: Systems Engineer (MBSE) Job Code: 42031 Job Location: Camden, NJ (On Site) Schedule: 9/80 Regular ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: This position is for a Senior Member of Engineering Staff (SMES) for the Command, Control, and Communications (C3) programs within the C3S Engineering organization and will be based in the historic L3Harris Camden Waterfront Campus in New Jersey. The C3 Engineer is responsible for developing integrated communication systems for both internal and external comms. The role will involve analyzing system requirements, performing signal processing, and data analysis. Collaborates closely with cross-functional teams, including hardware and software engineers, to ensure seamless integration, testing and validation of the overall system architecture. Essential Functions: Full Systems Engineering Life Cycle experience from baseline concept definition, System Design Review (SDR), through the Preliminary Design Review (PDR), and Critical Design Review (CDR) as well as System Integration and Engineering Test (SEIT). Applies Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Understanding of communications and network protocols, appropriate for mission-critical, near-real-time, military applications. Proficient with software tools used for systems engineering (i.e. requirements management, systems architecture and modeling, engineering change management, product life-cycle management, etc.). System integration and test engineering expertise, including technical leadership to perform verification activities including functional and environmental qualification. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Ability to ability to obtain and maintain a US Government Security clearance. Qualifications: A bachelor's degree in an engineering discipline and at least 6 years of related experience. Experience applying Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Relevant experience with design, development and delivery of next-generation products for our maritime customers. Preferred Additional Skills: Master's degree desired. Experience with design, operation, and maintenance of military communications. Active Security Clearance preferred. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Demonstrated ability to operate effectively in ambiguous, fast-paced environments, exercising strong initiative, decision-making, and problem-solving skills. In compliance with pay transparency requirements, the salary range for this role is $90,500 - $140,500. 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.
09/07/2026
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: Systems Engineer (MBSE) Job Code: 42031 Job Location: Camden, NJ (On Site) Schedule: 9/80 Regular ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: This position is for a Senior Member of Engineering Staff (SMES) for the Command, Control, and Communications (C3) programs within the C3S Engineering organization and will be based in the historic L3Harris Camden Waterfront Campus in New Jersey. The C3 Engineer is responsible for developing integrated communication systems for both internal and external comms. The role will involve analyzing system requirements, performing signal processing, and data analysis. Collaborates closely with cross-functional teams, including hardware and software engineers, to ensure seamless integration, testing and validation of the overall system architecture. Essential Functions: Full Systems Engineering Life Cycle experience from baseline concept definition, System Design Review (SDR), through the Preliminary Design Review (PDR), and Critical Design Review (CDR) as well as System Integration and Engineering Test (SEIT). Applies Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Understanding of communications and network protocols, appropriate for mission-critical, near-real-time, military applications. Proficient with software tools used for systems engineering (i.e. requirements management, systems architecture and modeling, engineering change management, product life-cycle management, etc.). System integration and test engineering expertise, including technical leadership to perform verification activities including functional and environmental qualification. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Ability to ability to obtain and maintain a US Government Security clearance. Qualifications: A bachelor's degree in an engineering discipline and at least 6 years of related experience. Experience applying Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Relevant experience with design, development and delivery of next-generation products for our maritime customers. Preferred Additional Skills: Master's degree desired. Experience with design, operation, and maintenance of military communications. Active Security Clearance preferred. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Demonstrated ability to operate effectively in ambiguous, fast-paced environments, exercising strong initiative, decision-making, and problem-solving skills. In compliance with pay transparency requirements, the salary range for this role is $90,500 - $140,500. 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 Staff AI Engineer 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
09/07/2026
Full time
Senior Staff AI Engineer 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
