Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance

About the role

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.

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
• 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
• Own firmware code quality through rigorous testing, debugging, and validation on hardware

Requirements

• 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

Qualifications

• Experience developing control algorithms, optimization algorithms, or state machines in firmware
• Background in tracing frameworks, telemetry systems, or performance analysis
• Familiarity with algorithmic complexity and optimization techniques for embedded systems
• 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

Skills

• Strong debugging skills with hardware-software systems
• Experience building developer tools or instrumentation frameworks
• 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

Benefits

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, Background in tracing frameworks, telemetry systems, or performance analysis, Familiarity with algorithmic complexity and optimization techniques for embedded systems, Understanding of ML training/inference workloads and their performance characteristics

Pay

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.

Schedule

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