Senior Firmware Engineer – Power & ML Acceleration

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+

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Job summary

Amazon Web Services (AWS) is seeking a Senior Firmware Engineer to join our Power Architecture team, developing firmware algorithms for power and performance on ML acceleration chips. You will design and implement intelligent control policies that maximize performance while managing power and thermal constraints, with instrumentation and cloud-analytic post-processing as needed.

You will build real-time decision systems, write efficient firmware, and collaborate across hardware teams to

Qualifications

  • 5+ years of non-internship software/firmware experience.
  • Strong firmware or embedded systems background.
  • Proficiency in C/C++ for systems programming.

Responsibilities

  • Design and implement firmware algorithms for power/thermal control on ML acceleration hardware.
  • Develop real-time control policies balancing power, thermal, and performance.
  • Create optimization methods for resource allocation, frequency/voltage scaling, and scheduling.
  • Implement on-device tracing and telemetry collection for algorithm validation.
  • Build tools and pipelines for data collection, analysis, and visualization of behavior.
  • Collaborate with hardware architects to identify instrumentation points.
  • Develop automated tests and hardware validation workflows.
  • Own firmware quality through testing and debugging on hardware.

Skills

Firmware development
C/C++
Embedded systems
Power management
Algorithms
Telemetry
Hardware interfaces
Debugging
Data structures
Mentoring

Education

Bachelor's degree in CS/EE

Job description

Amazon Web Services (AWS) is seeking a Senior Firmware Engineer to join our Power Architecture team, developing firmware algorithms for power and performance on ML acceleration chips. You will design and implement intelligent control policies that maximize performance while managing power and thermal constraints, with instrumentation and cloud-analytic post-processing as needed.

You will build real-time decision systems, write efficient firmware, and collaborate across hardware teams to

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