Annapurna Labs (U. S. ) Inc.
Technology
SoftwareDevelopmentEngineer-AI/ML,AmazonNeuron,MultimodalInference
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference at Annapurna Labs (U. S. ) Inc.. Skills: AI/ML, Amazon Neuron, Multimodal Inference, High-performance computing. Lead efforts in building distributed inference support. Tune models for highest performance”
What You'll Achieve.
Achieve optimal performance; Maximize performance; Ensure optimal performance; Drive efficiencies in software architecture
Industry & Context.
Debugging performance issues; Troubleshooting
What They're Looking For.
Must Have
3+ years software development experience, 3+ years system design/architecture experience, Fundamentals of Machine learning and LLMs, Software development in C++ or Python, Understanding of system performance, Understanding of memory management, Understanding of parallel computing principles, Proficiency in debugging, Proficiency in profiling, Implement best software engineering practices
Nice to Have
Familiarity with PyTorch, Familiarity with JIT compilation, Familiarity with AOT tracing, Familiarity with CUDA kernels, Familiarity with ML kernels, Familiarity with low-level kernels, Performant kernel development experience, Familiar with Triton syntax, Familiar with Triton tile-level semantics, Experience with online inference serving, Experience with offline inference serving, Deep understanding of computer architecture, Deep understanding of operation systems level software, Working knowledge of parallel computing
What You'll Do.
Lead efforts in building distributed inference support
Tune models for highest performance
Maximize efficiency on silicon
Develop and optimize ML models
Optimize ML frameworks
Deploy models on ML hardware
Participate in ML system development
Design distributed computing architecture
Implement distributed computing architecture
Profile ML system performance
Optimize ML system performance
Test ML system performance
Deploy ML system performance
Build infrastructure to analyze models
Build infrastructure to onboard 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
Identify performance bottlenecks
Resolve performance bottlenecks
Implement fusion optimizations
Implement sharding optimizations
Implement tiling optimizations
Implement scheduling optimizations
Conduct comprehensive testing
Perform end-to-end model testing
Deploy through pipelines
Enable customer ML models
Optimize customer ML models
Develop innovative optimization techniques
Debug performance issues
Optimize memory usage
Shape inference stack
Design software architecture efficiencies
How You'll Work.
Team & Collaboration
Cross-functional team; Compiler engineers; Runtime engineers; Hardware teams; Applied scientists; System engineers; Product managers; Open source ecosystems
Process & Methodology
Agile
Full Job Description
The Annapurna Labs team at Amazonbuilds 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 teams remain small an
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