Software Development Engineer - AI​/ML, AWS Neuron

Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

Join the Annapurna Labs team at Amazon Web Services (AWS) where we develop AWS Neuron, the software development kit that accelerates deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. This role focuses on distributed inference support for PyTorch in the Neuron SDK, delivering high‑performance kernels and optimizations that enable customers to run large language models efficiently on AWS 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‑based 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 design and code solutions that drive efficiencies in software architecture, create metrics, implement automation, and resolve the root cause of software defects.

The Inference Enablement and Acceleration team fosters a builder’s culture where experimentation is encouraged and impact is measurable. Team members collaborate across compiler, runtime, framework, and hardware teams, combining deep hardware knowledge with machine‑learning expertise to push the boundaries of AI acceleration. Leadership supports mentorship, continuous learning, and career growth for all members.

• 3+ years of non‑internship professional software development experience.
• Bachelor’s degree or equivalent in Computer Science.
• 3+ years of non‑internship design or architecture experience of new and existing systems.
• Fundamentals of machine learning and LLMs, their architecture, training and inference life cycles with optimization experience.
• Software development experience in C++, Python (experience in at least one language is required).
• 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.li>
• Experience developing high‑performance kernels such as CUTLASS, Flash Infer, or similar.
• Familiarity with 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.

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