Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration

Sr.Firmware Engineer, Annapurna Labs, Machine Learning Acceleration – Power and PerformanceAWS Utility Computing (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.Key job responsibilitiesDesign 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, integrating with optional cloud-based analytics pipelines.Own firmware code quality through rigorous testing, debugging, and validation on hardware.Basic Qualifications5+ 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 QualificationsExperience 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.Our compensation reflects the cost of labor across several US geographic markets.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.Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits.For more information, please visit https : / / / workplace / employee-benefits.This position will remain posted until filled.Applicants should apply via our internal or external career site.#J-*****-Ljbffr