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Requirements
5+ years of non-internship professional software development experience
Experience as a mentor, tech lead or leading an engineering team
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.
Additional Information
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.
Annapurna Labs (u.s.) · Cupertino, CA