Amazon Web Services (AWS) ยท 2 hours ago
Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$129K/yr - $224K/yr
3+ years expAmazon Web Services (AWS) is seeking a Software Development Engineer to join the Annapurna Labs team, which focuses on building the AWS Neuron SDK for accelerating deep learning and GenAI workloads. The role involves architecting and implementing features, optimizing machine learning models for AWS's custom ML accelerators, and collaborating with cross-functional teams to enhance performance and efficiency.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
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
Qualification
Required
3+ years of non-internship professional software development experience
Bachelor's degree in computer science or equivalent
3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the 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
Familiarity with PyTorch, JIT compilation, and AOT tracing
Familiarity with CUDA kernels or equivalent ML or low-level kernels
Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited
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, operation systems level software and working knowledge of parallel computing
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (18969)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
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