Sr. Software Development Engineer, Annapurna Labs, Machine Learning Acceleration Power and Performance

Job description

Description
AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) 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 seeking a Software Development Engineer to join our Power Architecture team, developing next-generation ML Acceleration Chips.

In this role, you will focus on developing and implementing software algorithms that manage power, thermals, and performance across the chip, as well as the server system.

Additionally, you will build tracing tools to capture power/performance metrics and create automated workflows to optimize training and inference workloads.

Key job responsibilities
- Develop and implement software and firmware for managing power, thermal, and performance behavior.
- Translate architectural specifications and models into working, tested code.
- Participate in design, implementation, and validation of control algorithms across chip, card, and server scope.
- Collaborate with power architects and other system teams to ensure smooth software-hardware integration.
- Own code quality through testing, debugging, and continuous integration practices.
- Develop and automate tools and frameworks for running training and inference workloads, as well as collecting power and performance metrics.

A day in the life
You will work closely with power architects who define the power architecture and control schemes — you will help translate those into efficient, reliable, and maintainable software.

This position is ideal for strong software engineers who are comfortable working across the software stack, with the opportunity to expand their expertise into the domain of power and performance management while working on next-generation hardware solutions for ML acceleration.

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.

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
- 5+ years of non-internship professional software development experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field
- Strong software development skills, with experience across the full software development lifecycle
- * Proficiency in C/C++ and scripting languages (e.g., Python)
- Experience in writing production-quality code and working in collaborative, cross-functional teams
- Strong debugging and problem-solving skills
Preferred Qualifications
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and related workloads.
- Exposure to system software development (e.g., kernel drivers, firmware interaction, embedded systems).
- Familiarity with hardware/software interactions or hardware-aware programming.
- Experience with thermal, power, or performance management.
- Takes strong ownership, work effectively in ambiguous situations, demonstrates a bias for action while consistently delivering impactful results

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.

Required Skill Profession

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