Firmware Engineer, Annapurna Labs, ML Acceleration - Instrumentation & Developer Tools
Listed on 2025-12-20
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Software Development
Software Engineer, AI Engineer, Machine Learning/ ML Engineer, Embedded Software Engineer
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.
- 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
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.
About the TeamOur 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.
BasicQualifications
- 3+ years of software development, or 3+ years of software development experience
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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