Senior Software Development Engineer, AI​/ML, AWS Neuron, Model Inference

Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference

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 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. It includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX, enabling unparalleled ML inference and training performance.

The Inference Enablement and Acceleration team runs a wide range of models and supports novel architecture while maximizing performance for AWS's custom ML accelerators. Working across the stack from PyTorch to the hardware-software boundary, engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions. They combine deep hardware knowledge with ML expertise to push the boundaries of AI acceleration.

As part of the broader Neuron organization, the team works across multiple technology layers—frameworks, kernels, and compiler to runtime—and collaborates with collectives. They 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.

Posted: May 24, 2026 (Updated about 14 hours ago)

• Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.
• Participate in all stages of the ML system development lifecycle, including distributed computing architecture design, implementation, performance profiling, hardware‑specific optimizations, testing, and production deployment.
• Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.
• Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models.
• Analyze and optimize system‑level performance across multiple generations of Neuron hardware.
• Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks.
• Implement optimizations such as fusion, sharding, tiling, and scheduling.
• Conduct comprehensive testing, including unit and end‑to‑end model testing with continuous deployment and releases through pipelines.
• Work directly with customers to enable and optimize their ML models on AWS accelerators.
• Collaborate across teams to develop innovative optimization techniques.

You will collaborate with a cross‑functional team of applied scientists, system engineers, and product managers to deliver state‑of‑the‑art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. You will create metrics, implement automation, and resolve the root cause of software defects while building high‑impact solutions for a large customer base.

You will participate in design discussions, code reviews, and communicate with internal and external stakeholders in a startup‑like development environment.

The Inference Enablement and Acceleration team fosters a builder’s culture where experimentation is encouraged and impact is measurable. They emphasize collaboration, technical ownership, and continuous learning. Mentorship is a core practice; senior members provide one‑on‑one guidance and thorough, kind code reviews. The team supports new members and celebrates knowledge sharing.

• Bachelor’s degree in computer science or equivalent.
• 5+ years of non‑internship professional software development experience.
• 5+ years of non‑internship design or architecture (design patterns, reliability…