ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs

Amazon • Cupertino, CA

1d

About The Position

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 is at the forefront of maximizing
performance for AWS's custom ML accelerators. Working at the hardware-software
boundary, our engineers craft high-performance kernels for ML functions,
ensuring every FLOP counts in delivering optimal performance for our customers'
demanding workloads. We combine deep hardware knowledge with ML expertise to
push the boundaries of what's possible in AI acceleration.

The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone
for accelerating deep learning and GenAI workloads on Amazon's Inferentia and
Trainium ML accelerators. This comprehensive 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, our team works across
multiple technology layers - from frameworks and compilers to runtime and
collectives. We not only optimize current performance but also contribute to
future architecture designs, working closely with customers to enable their
models and ensure optimal performance. This role offers a unique opportunity to
work at the intersection of machine learning, high-performance computing, and
distributed architectures, where you'll help shape the future of AI acceleration
technology

This is an opportunity to work on 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. We operate in
spaces that are very large, yet our teams remain small and agile. There is no
blueprint. We're inventing. We're experimenting. It is a very unique learning
culture. The team works closely with customers on their model enablement,
providing direct support and optimization expertise to ensure their machine
learning workloads achieve optimal performance on AWS ML accelerators.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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

Benefits

• Amazon package will include sign-on payments and restricted stock units (RSUs).
• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level