Amazon.com Services LLC
Technology
SeniorSoftwareDevelopmentEngineer-AI/ML,AWSNeuron,MultimodalInference
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“Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference at Amazon.com Services LLC. Skills: AI/ML, AWS Neuron, Inference, ML accelerators. Architect business critical features. Implement business critical features”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
5+ years Python, System level programming, ML knowledge, Experience optimizing inference performance, Experience with PyTorch, Experience with JAX, Experience with LLM model families, Experience with Llama family, Experience with DeepSeek
Nice to Have
Familiarity with PyTorch, Familiarity with JIT compilation, Familiarity with AOT tracing, Familiarity with CUDA kernels, Performant kernel development, Familiar with Triton syntax, Experience with vLLM, Experience with SGLang, Experience with TensorRT, Deep understanding of computer architecture, Deep understanding of operation systems level software, Working knowledge of parallel computing
What You'll Do.
Architect business critical features
Implement business critical features
Mentor experienced engineers
Enable LLM model families
Tune models for performance
Maximize efficiency on silicon
Build distributed inference support
Tune models for highest performance
Maximize efficiency running models
Design machine learning models
Develop machine learning models
Optimize machine learning models
Design distributed computing architecture
Implement distributed computing architecture
Profile ML system performance
Optimize ML system performance
Perform hardware-specific optimizations
Build infrastructure for models
Design high-performance kernels
Implement high-performance kernels
Leverage Neuron architecture
Leverage Neuron programming models
Analyze system-level performance
Optimize system-level performance
Conduct performance analysis
Implement optimizations
Conduct comprehensive testing
Perform end-to-end model testing
Deploy through pipelines
Collaborate across teams
Develop optimization techniques
Debug performance issues
Optimize memory usage
Shape inference stack
How You'll Work.
Team & Collaboration
Cross-functional team; Compiler engineers; Runtime engineers; Hardware teams; Applied scientists; Product managers; Open Source Community
Process & Methodology
Agile
Full Job Description
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 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 and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for 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. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler 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 You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our t
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