Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Hands-on experience with public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models into applications. (Secondary) Strong understanding of cloud-native architectures, serverless computing, and cloud monitoring tools (e.g., Azure Monitor, Splunk, Grafana) Experience with component-based architecture, preferably React, and building large React applications Skilled in addressing security vulnerabilities and ensuring secure application development Familiarity with Agile development methodologies Passion for technology, innovation, and continuous learning Excellent problem-solving and communication skills with a passion for sharing best practices and driving organizational discipline Future Looking Skills Good understanding of LLMs and generative models How to effectively create prompts to get desired output from generative models Hands-on experience with API's like OpenAI and React JS Proficiency with AI-Assisted Development Tools like GitHub Copilot, etc. What are the reasons to consider working for UnitedHealth Group? Put it all together - competitive base pay, a full and comprehensive benefit program, performance rewards, and a management team who demonstrates their commitment to your success. Some of our offerings include: Paid Time Off which you start to accrue with your first pay period plus 8 Paid Holidays Medical Plan options along with participation in a Health Spending Account or a Health Saving account Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability coverage 401(k) Savings Plan, Employee Stock Purchase Plan Education Reimbursement Employee Discounts Employee Assistance Program Employee Referral Bonus Program Voluntary Benefits (pet insurance, legal insurance, LTC Insurance, etc.) You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Bachelor's degree OR equivalent experience 3+ years of experience in software engineering, including enterprise-class microservices, REST APIs, React JS, API Security and web applications 3+ years of experience programming in at least one high-level language (.NET Core/C#, Python, JavaScript, etc.) 3+ years of hands-on experience building large scale web applications using SPA frameworks like ReactJS 3+ years of experience building and leveraging container-based technologies such as Docker, Kubernetes 3+ years of solid delivery experience in a matrixed environment 3+ years of Agile Based Delivery combined with DevOps experience (CI / CD / CT) and Jenkins/Github Actions 3+ years of experience in designing data model based on requirement 3+ years of experience building native cloud solutions on either Azure (preferred) or AWS Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
09/14/2026
Full time
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Hands-on experience with public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models into applications. (Secondary) Strong understanding of cloud-native architectures, serverless computing, and cloud monitoring tools (e.g., Azure Monitor, Splunk, Grafana) Experience with component-based architecture, preferably React, and building large React applications Skilled in addressing security vulnerabilities and ensuring secure application development Familiarity with Agile development methodologies Passion for technology, innovation, and continuous learning Excellent problem-solving and communication skills with a passion for sharing best practices and driving organizational discipline Future Looking Skills Good understanding of LLMs and generative models How to effectively create prompts to get desired output from generative models Hands-on experience with API's like OpenAI and React JS Proficiency with AI-Assisted Development Tools like GitHub Copilot, etc. What are the reasons to consider working for UnitedHealth Group? Put it all together - competitive base pay, a full and comprehensive benefit program, performance rewards, and a management team who demonstrates their commitment to your success. Some of our offerings include: Paid Time Off which you start to accrue with your first pay period plus 8 Paid Holidays Medical Plan options along with participation in a Health Spending Account or a Health Saving account Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability coverage 401(k) Savings Plan, Employee Stock Purchase Plan Education Reimbursement Employee Discounts Employee Assistance Program Employee Referral Bonus Program Voluntary Benefits (pet insurance, legal insurance, LTC Insurance, etc.) You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Bachelor's degree OR equivalent experience 3+ years of experience in software engineering, including enterprise-class microservices, REST APIs, React JS, API Security and web applications 3+ years of experience programming in at least one high-level language (.NET Core/C#, Python, JavaScript, etc.) 3+ years of hands-on experience building large scale web applications using SPA frameworks like ReactJS 3+ years of experience building and leveraging container-based technologies such as Docker, Kubernetes 3+ years of solid delivery experience in a matrixed environment 3+ years of Agile Based Delivery combined with DevOps experience (CI / CD / CT) and Jenkins/Github Actions 3+ years of experience in designing data model based on requirement 3+ years of experience building native cloud solutions on either Azure (preferred) or AWS Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to design and implement firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help design and build the foundation that makes this vision possible. The Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. Key job responsibilities - Applying Software/Hardware co-design principles - Embedded software design, implementation, testing, debugging and performance improvements - Test suite and infrastructure design - Owning the design and final implementation of maintainable, documented and well tested software - Close collaboration with RTL designers, design verification engineers, and other software teams - Team tech lead for best practices, computer architecture and software design choices - Mentor, coach and set technical direction for other software Engineers BASIC QUALIFICATIONS - 7+ years of programming with at least one software programming language experience - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience writing firmware or bare metal software using C/C++ - Experience in Hardware/Software co-design - Experience with Hardware-In-The-Loop testing - Background in Computer Architecture and Design 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
09/14/2026
Full time
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to design and implement firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help design and build the foundation that makes this vision possible. The Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. Key job responsibilities - Applying Software/Hardware co-design principles - Embedded software design, implementation, testing, debugging and performance improvements - Test suite and infrastructure design - Owning the design and final implementation of maintainable, documented and well tested software - Close collaboration with RTL designers, design verification engineers, and other software teams - Team tech lead for best practices, computer architecture and software design choices - Mentor, coach and set technical direction for other software Engineers BASIC QUALIFICATIONS - 7+ years of programming with at least one software programming language experience - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience writing firmware or bare metal software using C/C++ - Experience in Hardware/Software co-design - Experience with Hardware-In-The-Loop testing - Background in Computer Architecture and Design 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
The Senior SoC Software DevOps Engineer role centers on enabling the rapid and reliable development of software for AWSs most advanced custom machine learning chips. This position is critical to supporting the Trainium and Inferentia families of silicon which power large scale AI training at AWS. The engineer will serve as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre silicon simulation environments and post silicon production deployments. By building robust automation and tooling the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available. This work has a direct impact on AWSs ability to deliver advanced ML infrastructure to its largest customers. This role operates at the intersection of hardware and software requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. It is a foundational position for the SoC software teams as it frees engineers from infrastructure burdens allowing them to focus on feature development. Success in this role will be measured by improvements in development velocity release quality and the stability of systems that support multiple teams. The position demands a proactive approach to identifying bottlenecks and a strong ability to operate within novel technical contexts without prior domain knowledge in machine learning or chip design. Key job responsibilities The engineer will own the end to end CI/CD pipelines and release processes for all SoC software components including firmware hardware abstraction layers and modeling tools. This involves designing maintaining and evolving systems that produce reliable releases for both internal verification teams and external AWS services. A key task is ensuring these pipelines function across heterogeneous environments such as Corp networks and VPC. The role requires building qualification workflows that guarantee software meets strict quality standards before reaching customers or verification teams. Another core duty is developing hardware in the loop test infrastructure that validates SoC software on actual silicon in laboratory and automated testing settings. This includes creating frameworks to run tests on real chips simulate pre silicon environments and integrate results into continuous integration workflows. Additionally the engineer must build observability tools such as dashboards that track build health test coverage and pipeline performance along with alerting systems that notify teams of regressions. A significant focus will be on identifying and removing friction in development workflows such as slow build times or complex release steps using data driven insights to prioritize improvements that accelerate team productivity. The role also involves solving novel problems like bridging disconnected environments and orchestrating synchronized releases across multiple domains. About the team We're part of the SoC Software organization within Annapurna Labs (AWS). Our three software teams - uCode, HAL (Hardware Abstraction Layer), and Modeling - build the firmware, drivers, and virtual platforms for AWS's custom ML accelerator chips. We operate like a startup: small teams, high ownership, direct impact on AWS's most strategic silicon programs. This DevOps engineer will work across all three teams, with a mandate to improve velocity, quality, and developer experience for the entire SoC software organization. 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. BASIC QUALIFICATIONS - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience programming in Python and at least one of: Bash, Go, C++, or Java - Experience with infrastructure-as-code (CDK, CloudFormation, Terraform, etc.) - Experience with AWS services (Lambda, S3, EC2, CloudWatch, IAM, Secrets Manager, etc.) - Experience with Linux-based build and development environments PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with Amazon's internal build and release systems (Brazil, Pipelines, CRUX, Apollo, etc.) - Experience building cross-environment or cross-account automation (e.g., bridging corporate and isolated/air-gapped environments) - Experience with Jenkins pipeline development and administration - Experience with hardware-in-the-loop testing or supporting hardware/silicon development teams - Experience building observability infrastructure: dashboards, metrics pipelines, alerting (CloudWatch, QuickSight, or similar) 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 USA, TX, Austin - 168 400.00 USD annually
09/14/2026
Full time
The Senior SoC Software DevOps Engineer role centers on enabling the rapid and reliable development of software for AWSs most advanced custom machine learning chips. This position is critical to supporting the Trainium and Inferentia families of silicon which power large scale AI training at AWS. The engineer will serve as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre silicon simulation environments and post silicon production deployments. By building robust automation and tooling the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available. This work has a direct impact on AWSs ability to deliver advanced ML infrastructure to its largest customers. This role operates at the intersection of hardware and software requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. It is a foundational position for the SoC software teams as it frees engineers from infrastructure burdens allowing them to focus on feature development. Success in this role will be measured by improvements in development velocity release quality and the stability of systems that support multiple teams. The position demands a proactive approach to identifying bottlenecks and a strong ability to operate within novel technical contexts without prior domain knowledge in machine learning or chip design. Key job responsibilities The engineer will own the end to end CI/CD pipelines and release processes for all SoC software components including firmware hardware abstraction layers and modeling tools. This involves designing maintaining and evolving systems that produce reliable releases for both internal verification teams and external AWS services. A key task is ensuring these pipelines function across heterogeneous environments such as Corp networks and VPC. The role requires building qualification workflows that guarantee software meets strict quality standards before reaching customers or verification teams. Another core duty is developing hardware in the loop test infrastructure that validates SoC software on actual silicon in laboratory and automated testing settings. This includes creating frameworks to run tests on real chips simulate pre silicon environments and integrate results into continuous integration workflows. Additionally the engineer must build observability tools such as dashboards that track build health test coverage and pipeline performance along with alerting systems that notify teams of regressions. A significant focus will be on identifying and removing friction in development workflows such as slow build times or complex release steps using data driven insights to prioritize improvements that accelerate team productivity. The role also involves solving novel problems like bridging disconnected environments and orchestrating synchronized releases across multiple domains. About the team We're part of the SoC Software organization within Annapurna Labs (AWS). Our three software teams - uCode, HAL (Hardware Abstraction Layer), and Modeling - build the firmware, drivers, and virtual platforms for AWS's custom ML accelerator chips. We operate like a startup: small teams, high ownership, direct impact on AWS's most strategic silicon programs. This DevOps engineer will work across all three teams, with a mandate to improve velocity, quality, and developer experience for the entire SoC software organization. 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. BASIC QUALIFICATIONS - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience programming in Python and at least one of: Bash, Go, C++, or Java - Experience with infrastructure-as-code (CDK, CloudFormation, Terraform, etc.) - Experience with AWS services (Lambda, S3, EC2, CloudWatch, IAM, Secrets Manager, etc.) - Experience with Linux-based build and development environments PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with Amazon's internal build and release systems (Brazil, Pipelines, CRUX, Apollo, etc.) - Experience building cross-environment or cross-account automation (e.g., bridging corporate and isolated/air-gapped environments) - Experience with Jenkins pipeline development and administration - Experience with hardware-in-the-loop testing or supporting hardware/silicon development teams - Experience building observability infrastructure: dashboards, metrics pipelines, alerting (CloudWatch, QuickSight, or similar) 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 USA, TX, Austin - 168 400.00 USD annually
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of emerging Machine Learning products our customers demand. Technologies useful to this role include operating systems, Linux architecture, embedded systems, and control systems. Our team uses, C, C++, Lua, Bash, Python and other similar languages to develop device drivers, enable control systems which utilize sensor data, and develop automation software. Familiarity with Baseboard Management Controller (BMC) software and architecture is helpful but not required. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was builds on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from Linux kernel device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, SPI, PCIe, and device control are our bread and butter. About the team 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 engineers enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually
09/14/2026
Full time
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of emerging Machine Learning products our customers demand. Technologies useful to this role include operating systems, Linux architecture, embedded systems, and control systems. Our team uses, C, C++, Lua, Bash, Python and other similar languages to develop device drivers, enable control systems which utilize sensor data, and develop automation software. Familiarity with Baseboard Management Controller (BMC) software and architecture is helpful but not required. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was builds on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from Linux kernel device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, SPI, PCIe, and device control are our bread and butter. About the team 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 engineers enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually
The Data Center Global Controls team is looking for exceptional individuals to join our Controls organization as a Controls Technician for Service & Construction of the Building Management Systems (BMS) and Electrical Power Monitoring System (EPMS) within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The candidate will possess technical background and experience in installation, troubleshooting, operations and/or maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. The candidate may also have relevant experience operating and maintaining mission critical electrical and mechanical systems. A Controls Technician shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. A Controls Technician is expected to actively innovate on behalf of their customers in the area of Data Center building automation. Key job responsibilities Primarily work in and support multiple Data Centers by Deploying, Servicing, and Upgrading BMS and EPMS systems. Mentor and train Facilities team members on operation and control of the BMS and EPMS systems. Audit, maintain, and manage computer enterprise asset management systems for BMS and EPMS installations Manage small to medium size projects and programs. Perform point to point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting and maintenance of programming code and hardware associated with the BMS and EPMS in data centers. Perform provisioning process for servers, controllers, industrial PCs and network configurations and communication testing between third party devices and controllers or servers. Installation, replacement, configuration, and calibration of sensors. Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, and functions typically performed by industrial controllers. Supervise low voltage electrical contractors who performing wiring and installation of field devices in compliance with AWS requirements. Commissioning and systems level testing support. Create red-lined drawings and documentation of systems. Follow change management process to generate work requests and method of procedures. Participate in Factory witnessed tests at vendor's or panel builder's facility. Perform other tasks as assigned by manager. Recommend design improvements based on consultation with users and system operation. Perform root cause analysis during testing and commissioning. Ensure all personnel on site utilize proper safety methodology. Work on-call and a rotating schedule when required and respond to after-hours emergencies. Perform service activities such as monitoring/reviewing ticketing systems, performing root cause analysis, and prioritizing tasks. Actively manage service agreements to include vendor labor scheduling, quality assurance, and financial invoice review. Physical Requirements: Walk jobsites in uneven terrain and work at heights and from ladders. Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl. On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of professional work experience, or experience in technical work related to computer systems and technology components - Technical (Military/ Trade School) School diploma or Associate degree with one year experience related to industrial instrumentation/controls or equivalent electrical or mechanical operations experience. - Minimum one year of experience with mission critical low and medium voltage electrical and/or mechanical systems. PREFERRED QUALIFICATIONS - 1+ years of relevant work in a data center or other critical environment experience - Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling. - Basic understanding of Industrial controls system, controllers, and programming including troubleshooting of industrial controls analog, discrete and networked input/output field signals. - International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 32.93 - 57.64 USD hourly
09/14/2026
Full time
The Data Center Global Controls team is looking for exceptional individuals to join our Controls organization as a Controls Technician for Service & Construction of the Building Management Systems (BMS) and Electrical Power Monitoring System (EPMS) within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The candidate will possess technical background and experience in installation, troubleshooting, operations and/or maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. The candidate may also have relevant experience operating and maintaining mission critical electrical and mechanical systems. A Controls Technician shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. A Controls Technician is expected to actively innovate on behalf of their customers in the area of Data Center building automation. Key job responsibilities Primarily work in and support multiple Data Centers by Deploying, Servicing, and Upgrading BMS and EPMS systems. Mentor and train Facilities team members on operation and control of the BMS and EPMS systems. Audit, maintain, and manage computer enterprise asset management systems for BMS and EPMS installations Manage small to medium size projects and programs. Perform point to point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting and maintenance of programming code and hardware associated with the BMS and EPMS in data centers. Perform provisioning process for servers, controllers, industrial PCs and network configurations and communication testing between third party devices and controllers or servers. Installation, replacement, configuration, and calibration of sensors. Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, and functions typically performed by industrial controllers. Supervise low voltage electrical contractors who performing wiring and installation of field devices in compliance with AWS requirements. Commissioning and systems level testing support. Create red-lined drawings and documentation of systems. Follow change management process to generate work requests and method of procedures. Participate in Factory witnessed tests at vendor's or panel builder's facility. Perform other tasks as assigned by manager. Recommend design improvements based on consultation with users and system operation. Perform root cause analysis during testing and commissioning. Ensure all personnel on site utilize proper safety methodology. Work on-call and a rotating schedule when required and respond to after-hours emergencies. Perform service activities such as monitoring/reviewing ticketing systems, performing root cause analysis, and prioritizing tasks. Actively manage service agreements to include vendor labor scheduling, quality assurance, and financial invoice review. Physical Requirements: Walk jobsites in uneven terrain and work at heights and from ladders. Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl. On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of professional work experience, or experience in technical work related to computer systems and technology components - Technical (Military/ Trade School) School diploma or Associate degree with one year experience related to industrial instrumentation/controls or equivalent electrical or mechanical operations experience. - Minimum one year of experience with mission critical low and medium voltage electrical and/or mechanical systems. PREFERRED QUALIFICATIONS - 1+ years of relevant work in a data center or other critical environment experience - Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling. - Basic understanding of Industrial controls system, controllers, and programming including troubleshooting of industrial controls analog, discrete and networked input/output field signals. - International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 32.93 - 57.64 USD hourly
About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be the technical lead for a team building AI agents and tools that simplify AWS Neuron adoption, and drive the team's vision and strategy in this space critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a senior member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: - Research implementations that deliver the best possible experiences for customers. - Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron. - Solve challenging technical problems, often ones not solved before, at every layer of the stack - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Potentially contribute intellectual property through patents - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. - Exert technical influence over the team, increasing their productivity and effectiveness by sharing your deep knowledge and experience. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - Hands-on technical experience working in the Generative AI space - Excellent written and verbal communication skills with the ability to present complex technical information concisely to executives and non-technical leaders. - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Master's degree or above in computer science or equivalent - 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization space or related areas - Domain-level knowledge of AWS services - Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually
09/14/2026
Full time
About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be the technical lead for a team building AI agents and tools that simplify AWS Neuron adoption, and drive the team's vision and strategy in this space critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a senior member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: - Research implementations that deliver the best possible experiences for customers. - Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron. - Solve challenging technical problems, often ones not solved before, at every layer of the stack - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Potentially contribute intellectual property through patents - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. - Exert technical influence over the team, increasing their productivity and effectiveness by sharing your deep knowledge and experience. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - Hands-on technical experience working in the Generative AI space - Excellent written and verbal communication skills with the ability to present complex technical information concisely to executives and non-technical leaders. - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Master's degree or above in computer science or equivalent - 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization space or related areas - Domain-level knowledge of AWS services - Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually
Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Senior SDE, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will design and implement a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: - Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where you're always working on the most important stuff. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually
09/14/2026
Full time
Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Senior SDE, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will design and implement a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: - Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where you're always working on the most important stuff. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually
AWS Networking builds the infrastructure that powers every customer workload in the cloud. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. We are looking for a Software Development Engineer to join the ENA Express team. You will design, build, and own features across the full ENA Express software stack: Firmware on the Nitro-Card, user-space libraries, control plane components, and the performance analytics systems that help our customers get the most out of their network. This is high-ownership work - your code runs on a fleet of millions of EC2 instances, supporting customers who demand the absolute best from their network. Key job responsibilities • Design and develop features across the AWS Networking software stack on Nitro Cards. • Deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • Collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • Partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • Drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team We are a team of senior engineers with deep expertise in systems software, networking protocols, and EC2 infrastructure. Our work spans the full stack - from the Firmware on the driver Card, and NIC driver layer up through the EC2 control plane - and we collaborate closely with hardware, firmware, and platform partners. We care deeply about technical craft, operational quality, and each other's growth. BASIC QUALIFICATIONS - 2+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - Background in systems programming (C / C++) in performance-critical, production environments PREFERRED QUALIFICATIONS - Experience in Linux and Networking protocols, or experience in Linux OS and network troubleshooting - Experience in Linux and Networking protocols, or experience in Network protocols like DNS/DHCP/TCP and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience with virtualization (Hypervisors, VMware, Xen), or experience in managing and troublshooting network and experience in Network protocols like DNS/DHCP/TCP - Experience working with software teams to tightly define the HW/SW interface, including control/status registers and error handling 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 - 165 600.00 USD annually
09/14/2026
Full time
AWS Networking builds the infrastructure that powers every customer workload in the cloud. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. We are looking for a Software Development Engineer to join the ENA Express team. You will design, build, and own features across the full ENA Express software stack: Firmware on the Nitro-Card, user-space libraries, control plane components, and the performance analytics systems that help our customers get the most out of their network. This is high-ownership work - your code runs on a fleet of millions of EC2 instances, supporting customers who demand the absolute best from their network. Key job responsibilities • Design and develop features across the AWS Networking software stack on Nitro Cards. • Deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • Collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • Partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • Drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team We are a team of senior engineers with deep expertise in systems software, networking protocols, and EC2 infrastructure. Our work spans the full stack - from the Firmware on the driver Card, and NIC driver layer up through the EC2 control plane - and we collaborate closely with hardware, firmware, and platform partners. We care deeply about technical craft, operational quality, and each other's growth. BASIC QUALIFICATIONS - 2+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - Background in systems programming (C / C++) in performance-critical, production environments PREFERRED QUALIFICATIONS - Experience in Linux and Networking protocols, or experience in Linux OS and network troubleshooting - Experience in Linux and Networking protocols, or experience in Network protocols like DNS/DHCP/TCP and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience with virtualization (Hypervisors, VMware, Xen), or experience in managing and troublshooting network and experience in Network protocols like DNS/DHCP/TCP - Experience working with software teams to tightly define the HW/SW interface, including control/status registers and error handling 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 - 165 600.00 USD annually
Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life 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. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. BASIC QUALIFICATIONS - Experience building complex software systems that have been successfully delivered to customers - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Bachelor's degree in computer science or equivalent - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience in development in the last 3 years, or experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience with hardware/software integration and real-time systems - Familiarity with collective communication algorithms (e.g., all-reduce, all-gather) or distributed training frameworks 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 - 165 600.00 USD annually
09/14/2026
Full time
Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life 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. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. BASIC QUALIFICATIONS - Experience building complex software systems that have been successfully delivered to customers - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Bachelor's degree in computer science or equivalent - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience in development in the last 3 years, or experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience with hardware/software integration and real-time systems - Familiarity with collective communication algorithms (e.g., all-reduce, all-gather) or distributed training frameworks 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 - 165 600.00 USD annually
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Tools, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. 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 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 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 - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
09/14/2026
Full time
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Tools, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. 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 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 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 - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
We're seeking a Software Development Engineer to help architect, build, and operate the infrastructure that accelerates silicon development at Annapurna Labs. In this role, you'll contribute to the platforms, tooling, and automation that enable our chip design teams to iterate faster, validate more thoroughly, and bring transformative silicon to market. You'll work at the intersection of cloud infrastructure, high-performance computing, and electronic design automation-building systems that directly impact AWS's ability to innovate in custom silicon. This is a unique opportunity to grow your skills in infrastructure that supports chip development while working with world-class engineers across hardware, software, and operations disciplines. Key job responsibilities Customer-Focused Infrastructure Development • Partner with silicon design, verification, emulation, and software teams to understand their development workflows, pain points, and iteration cycles. • Build tooling and automation that eliminates manual toil and reduces time-to-results. • Gather continuous feedback from internal customers and rapidly iterate on solutions. Benchmark infrastructure based on silicon development workflows to provide internal customers with the optimal resources for silicon development. Own Platform Delivery and Operations • Design, implement, and operate cloud infrastructure and high-performance computing clusters using schedulers like Slurm. • Build and maintain CI/CD pipelines for infrastructure-as-code and service deployments with comprehensive testing and safe rollback mechanisms. • Take ownership of platform reliability, performance, and cost efficiency from initial design through production operation. Drive Results Through Automation and Observability • Develop monitoring, diagnostics, and alerting systems that surface actionable insights on efficiency, utilization, reliability, and cost trends. • Establish incident response processes, runbooks, and documentation that enable operational excellence. • Proactively anticipate system failures and implement preventive measures, reducing operational toil and improving system resilience. A day in the life Each day you will work with some of the best engineers in the industry to develop Machine Learning Accelerators. On-site in Austin, Texas, you will be part of the team that develops custom silicon and contribute to the infrastructure that enables this innovation. You might start your day investigating anomalies in job completion rates or resource utilization patterns. You could spend your morning collaborating with a design verification team to optimize their regression workflows, identifying bottlenecks and proposing improvements. In the afternoon, you might be building new tooling that simplifies infrastructure access for emulation teams, or contributing to monitoring dashboards that give teams real-time visibility into their development velocity. You'll participate in design reviews, contribute to postmortems when incidents occur, and continuously refine the systems that accelerate the path from RTL to silicon. Throughout the day, you'll balance immediate customer needs-unblocking a team waiting for compute capacity -with longer-term platform investments. You'll write code, review infrastructure-as-code changes, and collaborate across teams who depend on the systems you build. Take a look inside our labs to see what you will learn at Annapurna Labs: • custom-chips • About the team At Annapurna Labs, your infrastructure work directly enables breakthrough innovations in custom silicon that power AWS and transform industries. You'll collaborate with world-class chip designers, verification engineers, and software developers who are pushing the boundaries of what's possible. We offer the resources and scale of AWS with the innovation culture and technical depth of a focused silicon team. If you're passionate about building infrastructure that accelerates innovation, thrive on customer obsession and ownership, and want to see your work enable the next generation of AWS silicon -we want to hear from you BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 2+ years of non-internship professional software development experience - 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, - Python, Golang, PowerShell, Ruby - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust with demonstrated ability to write production-quality, maintainable code - • Experience utilizing AWS cloud solutions in a DevOps environment with infrastructure as code (CloudFormation, Terraform, CDK) - • Experience with Linux/Unix - • Experience in automating, deploying, and supporting large-scale infrastructure - • Experience with high-performance computing (HPC) clusters using workload schedulers like Slurm - • Familiarity with semiconductor development workflows or electronic design automation (EDA) environments - • Experience building services using AWS products - • Experience with CI/CD pipelines and build processes - • Experience with monitoring, observability, and incident management at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually
09/14/2026
Full time
We're seeking a Software Development Engineer to help architect, build, and operate the infrastructure that accelerates silicon development at Annapurna Labs. In this role, you'll contribute to the platforms, tooling, and automation that enable our chip design teams to iterate faster, validate more thoroughly, and bring transformative silicon to market. You'll work at the intersection of cloud infrastructure, high-performance computing, and electronic design automation-building systems that directly impact AWS's ability to innovate in custom silicon. This is a unique opportunity to grow your skills in infrastructure that supports chip development while working with world-class engineers across hardware, software, and operations disciplines. Key job responsibilities Customer-Focused Infrastructure Development • Partner with silicon design, verification, emulation, and software teams to understand their development workflows, pain points, and iteration cycles. • Build tooling and automation that eliminates manual toil and reduces time-to-results. • Gather continuous feedback from internal customers and rapidly iterate on solutions. Benchmark infrastructure based on silicon development workflows to provide internal customers with the optimal resources for silicon development. Own Platform Delivery and Operations • Design, implement, and operate cloud infrastructure and high-performance computing clusters using schedulers like Slurm. • Build and maintain CI/CD pipelines for infrastructure-as-code and service deployments with comprehensive testing and safe rollback mechanisms. • Take ownership of platform reliability, performance, and cost efficiency from initial design through production operation. Drive Results Through Automation and Observability • Develop monitoring, diagnostics, and alerting systems that surface actionable insights on efficiency, utilization, reliability, and cost trends. • Establish incident response processes, runbooks, and documentation that enable operational excellence. • Proactively anticipate system failures and implement preventive measures, reducing operational toil and improving system resilience. A day in the life Each day you will work with some of the best engineers in the industry to develop Machine Learning Accelerators. On-site in Austin, Texas, you will be part of the team that develops custom silicon and contribute to the infrastructure that enables this innovation. You might start your day investigating anomalies in job completion rates or resource utilization patterns. You could spend your morning collaborating with a design verification team to optimize their regression workflows, identifying bottlenecks and proposing improvements. In the afternoon, you might be building new tooling that simplifies infrastructure access for emulation teams, or contributing to monitoring dashboards that give teams real-time visibility into their development velocity. You'll participate in design reviews, contribute to postmortems when incidents occur, and continuously refine the systems that accelerate the path from RTL to silicon. Throughout the day, you'll balance immediate customer needs-unblocking a team waiting for compute capacity -with longer-term platform investments. You'll write code, review infrastructure-as-code changes, and collaborate across teams who depend on the systems you build. Take a look inside our labs to see what you will learn at Annapurna Labs: • custom-chips • About the team At Annapurna Labs, your infrastructure work directly enables breakthrough innovations in custom silicon that power AWS and transform industries. You'll collaborate with world-class chip designers, verification engineers, and software developers who are pushing the boundaries of what's possible. We offer the resources and scale of AWS with the innovation culture and technical depth of a focused silicon team. If you're passionate about building infrastructure that accelerates innovation, thrive on customer obsession and ownership, and want to see your work enable the next generation of AWS silicon -we want to hear from you BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 2+ years of non-internship professional software development experience - 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, - Python, Golang, PowerShell, Ruby - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust with demonstrated ability to write production-quality, maintainable code - • Experience utilizing AWS cloud solutions in a DevOps environment with infrastructure as code (CloudFormation, Terraform, CDK) - • Experience with Linux/Unix - • Experience in automating, deploying, and supporting large-scale infrastructure - • Experience with high-performance computing (HPC) clusters using workload schedulers like Slurm - • Familiarity with semiconductor development workflows or electronic design automation (EDA) environments - • Experience building services using AWS products - • Experience with CI/CD pipelines and build processes - • Experience with monitoring, observability, and incident management at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in building and managing Windows systems, with a passion for maintaining highly-available IT infrastructure and services at a massive scale? The Controls Fleet team is responsible for supporting some of Amazon's most critical infrastructure services. As part of Amazon Web Services, we power the infrastructure behind the world's premier e-commerce and cloud computing environments. To meet the growing demand for AWS services worldwide, we seek exceptionally motivated individuals driven by learning and innovation. We are looking for a passionate and motivated Windows Engineer to join our team of Systems Engineers. By joining us, you'll become part of a world-class team in a dynamic environment with the entrepreneurial spirit of a start-up. This is an opportunity to operate and engineer systems on a massive scale, gaining world-class experience in managing and supporting critical infrastructure. You'll work alongside passionate individuals dedicated to deploying and supporting essential IT infrastructure that powers AWS. The ideal candidate will be innovative, possess excellent problem-solving and analytical skills, and thrive in a fast-paced environment. They should have a keen attention to detail and the ability to solve problems at their root. The Controls Fleet Operations team services customers globally, requiring the ability to manage multiple tasks and adapt to different challenges. In addition, the ideal candidate should have an expert understanding of Windows tools such as Active Directory, Group Policy, DNS, Hyper-V, Windows Failover Clustering, and Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager. Proficiency in PowerShell, or a similar scripting language, and windows automation are essential. This role demands a solid foundation in networking principles and hands-on experience with hardware troubleshooting and system building. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Key job responsibilities • Large-Scale Windows Server Environments: Design, build, and support extensive Windows server environments. • Enterprise Tooling: Implement and manage enterprise-scale tooling, such as Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager, for a large Windows fleet. • Automation and Scripting: Develop and implement best practices for automating tasks and scripting in large server environments. Proficiency in PowerShell is essential. • Innovation and Problem Solving: Utilize creativity and analytical skills to solve complex problems and implement innovative solutions. • Adaptability: Quickly adjust to changing priorities and manage multiple tasks efficiently. • Hardware Troubleshooting: Diagnose and resolve hardware issues, with hands-on experience in system building. • Networking and Windows Administration: Strong understanding of networking principles and expert-level Windows administration. • Global Deployment: Create scripts and automation tasks applicable to a global server fleet. • On call: Participate in a 24x7 on call rotation that supports global customers • Ability to travel domestically and internationally up to 10% of the time About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience working with Linux - Knowledge of TCP/IP and networking protocols such as HTTP and DNS - 5+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience troubleshooting and debugging technical systems, or experience in technical support and experience with virtualization (Hypervisors, VMware, Xen) - 5+ years of experience deploying, managing, and supporting large-scale Windows Server environments (500+ servers), including OS lifecycle management, patch compliance, and fleet-wide standardization across geographically distributed data center infrastructure. PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience using AWS services - 5+ years experience with virtualization (Hypervisors, VMware, or Xen) and supporting the underlying hardware components - Demonstrated experience managing and maintaining a large-scale Windows Server fleet across geographically distributed environments, leveraging enterprise-level configuration management and automation tooling such as Enterprise Configuration Management (ECM), AWS Systems Manager, or equivalent platforms to drive patching compliance, system standardization, and operational efficiency at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave . click apply for full job details
09/14/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in building and managing Windows systems, with a passion for maintaining highly-available IT infrastructure and services at a massive scale? The Controls Fleet team is responsible for supporting some of Amazon's most critical infrastructure services. As part of Amazon Web Services, we power the infrastructure behind the world's premier e-commerce and cloud computing environments. To meet the growing demand for AWS services worldwide, we seek exceptionally motivated individuals driven by learning and innovation. We are looking for a passionate and motivated Windows Engineer to join our team of Systems Engineers. By joining us, you'll become part of a world-class team in a dynamic environment with the entrepreneurial spirit of a start-up. This is an opportunity to operate and engineer systems on a massive scale, gaining world-class experience in managing and supporting critical infrastructure. You'll work alongside passionate individuals dedicated to deploying and supporting essential IT infrastructure that powers AWS. The ideal candidate will be innovative, possess excellent problem-solving and analytical skills, and thrive in a fast-paced environment. They should have a keen attention to detail and the ability to solve problems at their root. The Controls Fleet Operations team services customers globally, requiring the ability to manage multiple tasks and adapt to different challenges. In addition, the ideal candidate should have an expert understanding of Windows tools such as Active Directory, Group Policy, DNS, Hyper-V, Windows Failover Clustering, and Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager. Proficiency in PowerShell, or a similar scripting language, and windows automation are essential. This role demands a solid foundation in networking principles and hands-on experience with hardware troubleshooting and system building. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Key job responsibilities • Large-Scale Windows Server Environments: Design, build, and support extensive Windows server environments. • Enterprise Tooling: Implement and manage enterprise-scale tooling, such as Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager, for a large Windows fleet. • Automation and Scripting: Develop and implement best practices for automating tasks and scripting in large server environments. Proficiency in PowerShell is essential. • Innovation and Problem Solving: Utilize creativity and analytical skills to solve complex problems and implement innovative solutions. • Adaptability: Quickly adjust to changing priorities and manage multiple tasks efficiently. • Hardware Troubleshooting: Diagnose and resolve hardware issues, with hands-on experience in system building. • Networking and Windows Administration: Strong understanding of networking principles and expert-level Windows administration. • Global Deployment: Create scripts and automation tasks applicable to a global server fleet. • On call: Participate in a 24x7 on call rotation that supports global customers • Ability to travel domestically and internationally up to 10% of the time About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience working with Linux - Knowledge of TCP/IP and networking protocols such as HTTP and DNS - 5+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience troubleshooting and debugging technical systems, or experience in technical support and experience with virtualization (Hypervisors, VMware, Xen) - 5+ years of experience deploying, managing, and supporting large-scale Windows Server environments (500+ servers), including OS lifecycle management, patch compliance, and fleet-wide standardization across geographically distributed data center infrastructure. PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience using AWS services - 5+ years experience with virtualization (Hypervisors, VMware, or Xen) and supporting the underlying hardware components - Demonstrated experience managing and maintaining a large-scale Windows Server fleet across geographically distributed environments, leveraging enterprise-level configuration management and automation tooling such as Enterprise Configuration Management (ECM), AWS Systems Manager, or equivalent platforms to drive patching compliance, system standardization, and operational efficiency at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave . click apply for full job details
Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers, utilizing the latest process nodes and massively scaled server clusters to provide the best hardware platform to customers for both inference and training workloads. We are seeking a mid-career semiconductor test engineer with a background in classic ATE platforms to create a clean running extremely low DPPM product-line forming the foundation to our servers. As our final product is a server, not just the silicon, you will find yourself stretching beyond structural testing and incorporating a lot more mission profile testing, utilizing a variety of external controlling ICs, porting server management and customer run-time software, including the use of virtualized machines and specific microcontrollers found in the end application. As such a curious mindset and an urge to learn system architecture will greatly benefit you in this role. We are a nurturing and supporting group that will ensure you have access to all tools, code and mentorship needed to become effective in this exciting new way of working! Key job responsibilities - Hardware development for probe, final test, system level test. - Software development for each insert - General tool development support A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. - Work in a startup-like development environment, where you're always working on the most important stuff. About the team Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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 and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering or a related field - Experience in C/C++ and/or Microsoft VBA/VBT and terminal shell environments - Experience with Advantest 93K, Teradyne IGXL based testers or other system level testers PREFERRED QUALIFICATIONS - Familiar with Lua, Python, shell scripting - Compilers, generating SOs and DLLs from large code bases - Experience with JMP, Optimal plus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 136 000.00 USD annually
09/14/2026
Full time
Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers, utilizing the latest process nodes and massively scaled server clusters to provide the best hardware platform to customers for both inference and training workloads. We are seeking a mid-career semiconductor test engineer with a background in classic ATE platforms to create a clean running extremely low DPPM product-line forming the foundation to our servers. As our final product is a server, not just the silicon, you will find yourself stretching beyond structural testing and incorporating a lot more mission profile testing, utilizing a variety of external controlling ICs, porting server management and customer run-time software, including the use of virtualized machines and specific microcontrollers found in the end application. As such a curious mindset and an urge to learn system architecture will greatly benefit you in this role. We are a nurturing and supporting group that will ensure you have access to all tools, code and mentorship needed to become effective in this exciting new way of working! Key job responsibilities - Hardware development for probe, final test, system level test. - Software development for each insert - General tool development support A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. - Work in a startup-like development environment, where you're always working on the most important stuff. About the team Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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 and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering or a related field - Experience in C/C++ and/or Microsoft VBA/VBT and terminal shell environments - Experience with Advantest 93K, Teradyne IGXL based testers or other system level testers PREFERRED QUALIFICATIONS - Familiar with Lua, Python, shell scripting - Compilers, generating SOs and DLLs from large code bases - Experience with JMP, Optimal plus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 136 000.00 USD annually
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. 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 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 - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
09/14/2026
Full time
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. 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 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 - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It's also preinstalled in Amazon Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training. This position is for a Software Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to ensure high throughput from software to hardware, is also a necessity. This engineer will work with the team to define the key interfaces and will develop the runtime stack and driver that manages the accelerator. This engineer will also work in pre-silicon environments (such as emulation) to shift-left Runtime Software Stack readiness and to develop validation content to checkout HW/Silicon features. This is a fast-paced, intellectually challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in computer architecture - Experience writing low level drivers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually
09/14/2026
Full time
Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It's also preinstalled in Amazon Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training. This position is for a Software Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to ensure high throughput from software to hardware, is also a necessity. This engineer will work with the team to define the key interfaces and will develop the runtime stack and driver that manages the accelerator. This engineer will also work in pre-silicon environments (such as emulation) to shift-left Runtime Software Stack readiness and to develop validation content to checkout HW/Silicon features. This is a fast-paced, intellectually challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in computer architecture - Experience writing low level drivers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is a comprehensive, evolving, and growing business unit within which provides cloud services. Since early 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud spans 99 Availability Zones within 31 geographic regions around the world, with more regions being added every year. If you are interested in a career working in a high growth, fast-paced and Customer focused work environment then AWS may be the right fit for you. The AWS Energy Team works across AMER to supply reliable and carbon free energy to our data centers. The team is seeking a results-orientated individual to join as a Transmission Systems Manager. In this role you will lead transmission planning activities that allow AWS to identify sites for renewable energy projects and power supply opportunities for existing and future AWS data centers. This role provides an opportunity for a technically minded individual to further advance their career within the clean energy sector. As a Transmission Systems Manager you will manage a portfolio of power flow analysis, due diligence and transmission studies using industry tools and in partnership with engineering consultants. The successful candidate will possess strong project management and communication skills and an ability to collaborate with cross-functional teams (Energy, Legal, Finance, Supply Strategy, Real Estate and Capacity Planning) on reporting status, issues, opportunities and key risks across a portfolio of power projects. Key job responsibilities - Build, develop, and maintain transmission planning models to support Amazon's energy growth strategies. - Conduct in-house power flow transmission studies, including generation deactivation and load addition analyses. - Analyze and mitigate transmission constraints in collaboration with internal teams (Energy, Procurement, Infra Energy, Real Estate, Design Engineering, Field Engineering) and external stakeholders (Utilities, RTOs). - Perform technical due diligence assessments on power connection options, evaluating costs, timelines, and key risks for proposed power projects. - Aggregate and manage datasets from multiple sources to deliver comprehensive insights on energy projects, supporting decision-making in renewable energy integration and load capacity planning. - Coordinate with cross-functional teams to ensure alignment of transmission planning with Amazon's overall energy strategy. - Manage relationships with consultants and external partners through contractual documents and agreements. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience in managing multiple, competing priorities simultaneously - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 3+ years of experience in transmission planning, power systems analysis, or a related energy discipline. - Hands-on experience with power flow analysis tools (e.g., PSS/E, PowerWorld, PSCAD, TARA or equivalent). PREFERRED QUALIFICATIONS - Master's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience working with RTOs/ISOs (e.g., PJM, MISO, WECC, SPP, ERCOT) on transmission interconnection or planning studies. - Familiarity with renewable energy integration, generation interconnection processes, and large load interconnection. - Experience supporting data center, hyperscaler, or large industrial load growth initiatives. - Proficiency in GIS tools and data management platforms for transmission system visualization. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 92 000.00 USD annually USA, WA, Seattle - 92 000.00 USD annually
09/14/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is a comprehensive, evolving, and growing business unit within which provides cloud services. Since early 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud spans 99 Availability Zones within 31 geographic regions around the world, with more regions being added every year. If you are interested in a career working in a high growth, fast-paced and Customer focused work environment then AWS may be the right fit for you. The AWS Energy Team works across AMER to supply reliable and carbon free energy to our data centers. The team is seeking a results-orientated individual to join as a Transmission Systems Manager. In this role you will lead transmission planning activities that allow AWS to identify sites for renewable energy projects and power supply opportunities for existing and future AWS data centers. This role provides an opportunity for a technically minded individual to further advance their career within the clean energy sector. As a Transmission Systems Manager you will manage a portfolio of power flow analysis, due diligence and transmission studies using industry tools and in partnership with engineering consultants. The successful candidate will possess strong project management and communication skills and an ability to collaborate with cross-functional teams (Energy, Legal, Finance, Supply Strategy, Real Estate and Capacity Planning) on reporting status, issues, opportunities and key risks across a portfolio of power projects. Key job responsibilities - Build, develop, and maintain transmission planning models to support Amazon's energy growth strategies. - Conduct in-house power flow transmission studies, including generation deactivation and load addition analyses. - Analyze and mitigate transmission constraints in collaboration with internal teams (Energy, Procurement, Infra Energy, Real Estate, Design Engineering, Field Engineering) and external stakeholders (Utilities, RTOs). - Perform technical due diligence assessments on power connection options, evaluating costs, timelines, and key risks for proposed power projects. - Aggregate and manage datasets from multiple sources to deliver comprehensive insights on energy projects, supporting decision-making in renewable energy integration and load capacity planning. - Coordinate with cross-functional teams to ensure alignment of transmission planning with Amazon's overall energy strategy. - Manage relationships with consultants and external partners through contractual documents and agreements. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience in managing multiple, competing priorities simultaneously - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 3+ years of experience in transmission planning, power systems analysis, or a related energy discipline. - Hands-on experience with power flow analysis tools (e.g., PSS/E, PowerWorld, PSCAD, TARA or equivalent). PREFERRED QUALIFICATIONS - Master's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience working with RTOs/ISOs (e.g., PJM, MISO, WECC, SPP, ERCOT) on transmission interconnection or planning studies. - Familiarity with renewable energy integration, generation interconnection processes, and large load interconnection. - Experience supporting data center, hyperscaler, or large industrial load growth initiatives. - Proficiency in GIS tools and data management platforms for transmission system visualization. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 92 000.00 USD annually USA, WA, Seattle - 92 000.00 USD annually
The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 98% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis features - Build and maintain automation solutions The role offers opportunities to work on latest CPU technology while contributing to both AWS and the open source community. A day in the life 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. About the team The Graviton Software organization ports, optimizes, and develops software to drive down the cost of adoption and operation for the AWS Graviton instances. We pro-actively improve and upstream open source software, including Linux kernel, operating system, compilers, libraries, and applications. We help internal and external customers to troubleshoot and fix performance bottlenecks that prevent them from using Graviton. We develop tools to automate most of the heavy lifting and maintain publicly available documentation: Graviton Developer Guide on GitHub BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 168 400.00 USD annually
09/14/2026
Full time
The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 98% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis features - Build and maintain automation solutions The role offers opportunities to work on latest CPU technology while contributing to both AWS and the open source community. A day in the life 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. About the team The Graviton Software organization ports, optimizes, and develops software to drive down the cost of adoption and operation for the AWS Graviton instances. We pro-actively improve and upstream open source software, including Linux kernel, operating system, compilers, libraries, and applications. We help internal and external customers to troubleshoot and fix performance bottlenecks that prevent them from using Graviton. We develop tools to automate most of the heavy lifting and maintain publicly available documentation: Graviton Developer Guide on GitHub BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 168 400.00 USD annually
AWS Networking builds the infrastructure that powers every customer workload in the cloud. We are seeking a hands-on Software Development Manager to lead the ENA Express team. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. Key job responsibilities • The team under your leadership will design and develop features across the AWS Networking software stack on Nitro Cards. • Together with the team you'll deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • You'll collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • You'll partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • You'll mentor junior and mid-level engineers, lead design reviews, and champion engineering best practices across the team •You'll drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 3+ years of C or C++ or Rust development experience - 5+ years of hands-on engineering experience, maintaining active programming proficiency - Hands-on experience with Network packet processing, embedded environment (on NIC development) 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
09/14/2026
Full time
AWS Networking builds the infrastructure that powers every customer workload in the cloud. We are seeking a hands-on Software Development Manager to lead the ENA Express team. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. Key job responsibilities • The team under your leadership will design and develop features across the AWS Networking software stack on Nitro Cards. • Together with the team you'll deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • You'll collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • You'll partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • You'll mentor junior and mid-level engineers, lead design reviews, and champion engineering best practices across the team •You'll drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 3+ years of C or C++ or Rust development experience - 5+ years of hands-on engineering experience, maintaining active programming proficiency - Hands-on experience with Network packet processing, embedded environment (on NIC development) 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
As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center through low level device driver development Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you'll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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 - 165 600.00 USD annually
09/14/2026
Full time
As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center through low level device driver development Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you'll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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 - 165 600.00 USD annually
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, Washington
We are looking for an Embedded Software Development Manager to lead the team building and scaling VirtSat - Leo's virtual satellite simulation platform. KSS enables developers and pipelines across Leo to create, provision, and test virtual satellites, ground gateways, customer terminals, and TT&C antennas on EC2 bare-metal infrastructure running KVM/QEMU. You will own the Graviton virtualization layer and lead the team responsible for VM lifecycle, LRU boot, subsystem provisioning, and software deployment for every virtual entity in the constellation. You'll work at the intersection of cloud infrastructure, embedded Linux, and satellite operations - leading the team that builds the platform every Leo satellite software release is tested on before launch. Key job responsibilities Lead a team of embedded engineers building and operating the Graviton bare-metal virtualization layer (KVM/QEMU VM management, subsystem provisioning, health monitoring, and fault recovery) Partner with 10+ client teams across satellite, ground, networking, and security organizations to drive VirtSat adoption Drive platform reliability to 99.96% availability with optimized latency (target: Own the custom AMI pipeline, provisioning scripts, and plugin framework that deploy satellite software onto emulated LRUs Scale the platform to 4K+ concurrent virtual entities Hire, develop, and retain top embedded engineering talent Define technical roadmap for fidelity improvements (HSM crypto emulation, EFUSE emulation, CAN bus simulation, error injection frameworks) Reduce HITL dependency by expanding the scope of tests that run on VirtSat Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS - 5+ years of people management, managing engineers experience - Experience with embedded systems, Linux systems programming, or virtualization (KVM/QEMU) - Experience building and operating distributed systems at scale (AWS services - EC2, ECS, Step Functions, DynamoDB) - Experience with infrastructure-as-code (CDK, CloudFormation) - Track record of hiring, developing, and retaining strong engineering teams - BS/MS in Computer Science, Electrical Engineering, or equivalent PREFERRED QUALIFICATIONS - Experience managing teams that own both service infrastructure and embedded/guest-OS layers - Experience with ARM64/Graviton bare-metal instances - Experience with QEMU device emulation or custom QEMU plugins - Experience with network virtualization (WireGuard, Transit Gateway, IPAM) - Familiarity with satellite systems, HITL test environments, or simulation platforms - Experience with embedded Linux (Yocto, systemd, device trees, boot processes) - Experience with CI/CD pipelines, automated testing (Hydra, Spock), and developer tooling - Experience with Rust for systems programming - Experience with certificate provisioning, secure boot, or HSM interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 184 200.00 USD annually
09/14/2026
Full time
We are looking for an Embedded Software Development Manager to lead the team building and scaling VirtSat - Leo's virtual satellite simulation platform. KSS enables developers and pipelines across Leo to create, provision, and test virtual satellites, ground gateways, customer terminals, and TT&C antennas on EC2 bare-metal infrastructure running KVM/QEMU. You will own the Graviton virtualization layer and lead the team responsible for VM lifecycle, LRU boot, subsystem provisioning, and software deployment for every virtual entity in the constellation. You'll work at the intersection of cloud infrastructure, embedded Linux, and satellite operations - leading the team that builds the platform every Leo satellite software release is tested on before launch. Key job responsibilities Lead a team of embedded engineers building and operating the Graviton bare-metal virtualization layer (KVM/QEMU VM management, subsystem provisioning, health monitoring, and fault recovery) Partner with 10+ client teams across satellite, ground, networking, and security organizations to drive VirtSat adoption Drive platform reliability to 99.96% availability with optimized latency (target: Own the custom AMI pipeline, provisioning scripts, and plugin framework that deploy satellite software onto emulated LRUs Scale the platform to 4K+ concurrent virtual entities Hire, develop, and retain top embedded engineering talent Define technical roadmap for fidelity improvements (HSM crypto emulation, EFUSE emulation, CAN bus simulation, error injection frameworks) Reduce HITL dependency by expanding the scope of tests that run on VirtSat Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS - 5+ years of people management, managing engineers experience - Experience with embedded systems, Linux systems programming, or virtualization (KVM/QEMU) - Experience building and operating distributed systems at scale (AWS services - EC2, ECS, Step Functions, DynamoDB) - Experience with infrastructure-as-code (CDK, CloudFormation) - Track record of hiring, developing, and retaining strong engineering teams - BS/MS in Computer Science, Electrical Engineering, or equivalent PREFERRED QUALIFICATIONS - Experience managing teams that own both service infrastructure and embedded/guest-OS layers - Experience with ARM64/Graviton bare-metal instances - Experience with QEMU device emulation or custom QEMU plugins - Experience with network virtualization (WireGuard, Transit Gateway, IPAM) - Familiarity with satellite systems, HITL test environments, or simulation platforms - Experience with embedded Linux (Yocto, systemd, device trees, boot processes) - Experience with CI/CD pipelines, automated testing (Hydra, Spock), and developer tooling - Experience with Rust for systems programming - Experience with certificate provisioning, secure boot, or HSM interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 184 200.00 USD annually
