ML Kernel Performance Engineer, 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 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.
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.
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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  As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation, and resolve the root cause of software defects. You’ll also build high‑impact solutions for our large customer base, participate in design discussions, code reviews, and communicate with internal and external stakeholders. You’ll work cross‑functionally to help drive business decisions with your technical input and thrive in a startup‑like development environment where you’re always working on the most important stuff.
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