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  • Emplois similaires à : Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs
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Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna LabsAmazon • Cupertino, California, United States
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Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs

Amazon
  • US
    Cupertino, California, United States
  • US
    Cupertino, California, United States
Postuler Maintenant

À propos

Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium.
The Acceleration Kernel Library team focuses on maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. The team combines deep hardware knowledge with ML expertise to push the boundaries of what is possible in AI acceleration.
The AWS Neuron SDK, developed by the Annapurna Labs team, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance.
As part of the broader Neuron Compiler organization, the team works across multiple technology layers— from frameworks and compilers to runtime and collectives—contributing to future architecture designs and optimizing performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you will shape the future of AI acceleration technology.
This is an opportunity to build cutting‑edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting‑edge research, and mentor a brilliant team of experienced engineers. The team works closely with customers on model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators.
Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.
Analyze and optimize kernel-level performance across multiple generations of Neuron hardware.
Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks.
Implement compiler optimizations such as fusion, sharding, tiling, and scheduling.
Work directly with customers to enable and optimize their ML models on AWS accelerators.
Collaborate across teams to develop innovative kernel optimization techniques.
A day in the life
Design and code solutions to help the team drive efficiencies in software architecture, creating metrics and implementing automation to resolve root causes.
Build high-impact solutions delivered to a large customer base.
Participate in design discussions, code reviews, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with technical input.
Operate in a startup-like development environment, focusing on the most important work.
Basic Qualifications
3+ years of engineering team management experience.
7+ years of direct engineering experience.
3+ years of designing or architecting new and existing systems (design patterns, reliability, and scaling).
8+ years of leading the definition and development of multi-tier web services.
Knowledge of engineering practices and patterns across the full software/hardware/network life cycle, including coding standards, code reviews, source control, build processes, testing, certification, and livesite operations.
Experience partnering with product or program management teams.
Preferred Qualifications
Experience communicating with users, other technical teams, and senior leadership to collect requirements and describe software product features, technical designs, and product strategy.
Experience recruiting, hiring, mentoring/coaching, and managing teams of Software Engineers to improve their skills and effectiveness.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more at https://amazon.jobs/en/benefits.
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  • Cupertino, California, United States

Compétences linguistiques

  • English
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