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.

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.

BASIC QUALIFICATIONS

- 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

PREFERRED 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

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.