Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance in , United States

Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance 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 Senior Firmware Engineer to join our Power Architecture team, developing firmware algorithms for power and performance management on ML Acceleration Chips. In this role, you will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems that maximize performance while managing power and thermal constraints.

You will develop sophisticated firmware that monitors system state, makes dynamic trade-offs between power and performance, and implements adaptive control policies. To enable this work, you will also build instrumentation and tracing capabilities that provide the telemetry needed to develop, tune, and validate your algorithms, with collected data optionally post-processed using cloud-based analytics.

Key job responsibilities

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.

5+ years of non- 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

Qualifications

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, 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

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.

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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 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, The base salary range for this position is listed below 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 .

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