Senior Software Engineer – Power and Performance, Machine Learning Acceleration
Annapurna Labs (our organization within AWS) 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.
We are looking for a Senior Software Engineer to join the Power & Performance Architecture Team developing next-generation ML acceleration chips. In this role, you will develop the software infrastructure and tools that drive performance and power efficiency at scale across thousands of systems in AWS data centers.
This is a software engineering-focused role centered on building robust frameworks, automating system-level testing, analyzing large datasets, and enabling deep insights into power and performance behavior across distributed workloads.
Key job responsibilities
- Develop and implement software and firmware for managing power, thermal, and performance behavior
- Develop and maintain tools to collect, process, and analyze power and performance data for machine learning workloads at scale.
- Develop low-level software interfaces to retrieve metrics from firmware, hardware, and telemetry sources.
- Design and develop scalable automation frameworks to run performance and power tests across thousands of servers inside Amazon data centers.
- Create dashboards and data pipelines to visualize trends, detect anomalies, and enable data-driven decisions.
- Collaborate with architecture, hardware, and software teams to define key metrics and guide system optimizations.
- Continuously evolve infrastructure to improve efficiency, accuracy, and test coverage.
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 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.
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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 (gender diversity) 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
- Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or related field.- 5+ years of experience in software development using Python, C/C++, or similar languages.
- Proven experience in building tools and automation for system-level testing and data collection.
- Strong foundation in data analysis, including experience with frameworks like Pandas, NumPy, and visualization libraries.
- Experience scaling test infrastructure or automation across large-scale environments (e.g., cloud or data centers).
PREFERRED QUALIFICATIONS
- Experience developing performance or power telemetry infrastructure.- Proficiency in dashboard tools such as Grafana, Power BI, or Tableau.
- Familiarity with machine learning workloads (e.g., PyTorch, TensorFlow).
- Strong debugging skills and ability to interpret system-level behavior from raw telemetry.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion