Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance
Role details
Job location
Tech stack
Job description
Design and implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware
- Develop real-time control policies and state machines that dynamically balance power, thermal, and performance constraints
- Create optimization algorithms for resource allocation, frequency/voltage scaling, and workload scheduling
- Implement efficient data structures and algorithms suitable for embedded, resource-constrained environments
- Design and implement on-device tracing and telemetry collection systems to support algorithm development and validation
- Build developer tools and data pipelines for metric collection, analysis, and visualization of algorithm behavior
- Implement low-overhead instrumentation that minimizes impact on workload performance
- Collaborate with hardware architects to understand hardware capabilities and identify optimal instrumentation points
- Develop automated testing and validation workflows; integrate with optional cloud-based analytics pipelines
- Own firmware code quality through rigorous testing, debugging, and validation on hardware
A day in the life You will work closely with power architects and hardware teams to understand silicon capabilities, implement low-level control mechanisms, and create the algorithms and tooling that deliver optimal system behavior.
This position is ideal for firmware engineers who enjoy solving algorithmic challenges in resource-constrained environments, working close to hardware, and building systems that intelligently manage complex trade-offs in real-time.
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.
Requirements
5+ years of non-internship professional software development experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science, electrical engineering, or related field
- Strong firmware or embedded systems development experience
- Proficiency in C/C++ for systems programming with strong foundation in algorithms and data structures
- Experience implementing efficient algorithms in resource-constrained, real-time environments
- Experience with hardware interfaces, instrumentation, or performance monitoring
- Strong debugging skills with hardware-software systems
- Experience building developer tools or instrumentation frameworks, Experience developing control algorithms, optimization algorithms, or state machines in firmware
- Experience with power management algorithms, thermal control policies, or dynamic performance optimization
- Background in tracing frameworks, telemetry systems, or performance analysis
- Understanding of algorithmic complexity and optimization techniques for embedded systems
- Familiarity with hardware performance counters, on-chip monitoring, or hardware debug interfaces
- Experience with data collection pipelines and scripting (Python, shell) for algorithm validation
- Understanding of ML training/inference workloads and their performance characteristics
- Takes strong ownership, works effectively in ambiguous situations, demonstrates a bias for action while consistently delivering impactful results
Benefits & conditions
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., 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 https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually USA, TX, Austin - 168,100.00 - 227,400.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually