Software Engineer II - AI​/ML, AWS Neuron, LLM Inference, AI​/ML, AWS Neuron, Model Inference

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Job  |  Services LLC

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 Inference Enablement and Acceleration team works across multiple technology layers—frameworks, kernels, compiler, runtime, and collectives—to optimize performance and help customers run models on our custom ML accelerators.

• 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 architectures.
• 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 release 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.

The Inference Enablement and Acceleration team fosters a builder’s culture where experimentation is encouraged, impact is measurable, and collaboration, ownership, and continuous learning are valued. We mentor new members and encourage knowledge sharing to help team members grow their engineering expertise.

• Bachelor’s degree in computer science or equivalent.
• 5+ years of professional software development experience.
• 5+ years of design or architecture experience for new and existing systems.
• Fundamentals of machine learning and LLMs, including architecture, training, and inference life cycles, and experience optimizing model execution.
• Software development experience in C++ and Python.
• Strong understanding of system performance, memory management, and parallel computing principles.
• Proficiency in debugging, profiling, and implementing best software engineering practices in large‑scale systems.

• Familiarity with PyTorch, JIT compilation, and AOT tracing.
• Familiarity with CUDA kernels or equivalent ML or low‑level kernels.
• Experience with performant kernel development such as CUTLASS or Flash Infer.
• Knowledge of syntax and tile‑level semantics similar to Triton.
• Experience with online/offline inference serving with vLLM, SGLang, Tensor
  
  RT, or similar platforms in production environments.
• Deep understanding of computer architecture, operating‑system level software, and parallel computing.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and company policies. Criminal history may have a…