Amazon Web Services (AWS) · 2 weeks ago
Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance
Seattle, WA
Full-time
Onsite
Senior Level
$151K/yr - $262K/yr
5+ years expAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. They are seeking a Senior Firmware Engineer to join their Power Architecture team, developing firmware algorithms for power and performance management on ML Acceleration Chips.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
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
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
Benefits
A full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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