Amazon Firmware Engineer Annapurna Labs ML Acceleration 

United States, Texas, Austin 

230142713

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- 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
- Develop automated testing and validation workflows; integrate with optional cloud-based analytics pipelines
- Own firmware code quality through rigorous testing, debugging, and validation on hardwareA 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.
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- 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