Software Development Engineer

Software Development Engineer – AI/ML, AWS Neuron, Multimodal InferenceThe 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 is the backbone for accelerating deep learning and GenAI workloads, providing an ML compiler, runtime, and application framework that integrates seamlessly 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 to maximize performance on AWS's custom ML accelerators.As part of the broader Neuron organization, the team works across multiple technology layers—from frameworks and kernels to compilers and runtimes—and collaborates 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, helping shape the future of AI acceleration technology.You will architect and implement business-critical features and mentor a team of experienced engineers. The team works closely with customers on model enablement, providing direct support and optimization expertise to ensure their machine-learning workloads achieve optimal performance on AWS ML accelerators and to collaborate with open-source for seamless integration at scale.Key job responsibilitiesDesign, 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.Basic qualifications3+ 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 for new and existing systems.Fundamentals of machine learning and LLMs, their architecture, training and inference lifecycles, and work experience on optimizations to improve model execution.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.Preferred qualificationsFamiliarity with PyTorch, JIT compilation, and AOT tracing.Familiarity with CUDA kernels or equivalent ML or low-level kernels.Experience developing performant kernels such as CUTLASS, FlashInfer, etc.Familiar with syntax and tile-level semantics similar to Triton.Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.Deep understanding of computer architecture, operating-system level software and parallel computing.You can learn more about Neuron:Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence; communicate effectively and respectfully; exercise sound judgment; manage stress; and safeguard business operations. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.#J-*****-Ljbffr