Amazon · 4 months ago
Software Engineer II - AI/ML, AWS Neuron, LLM Inference, AI/ML, AWS Neuron, Model Inference
Cupertino, California, USA
Full-time
Onsite
Mid, Senior Level
$129K/yr - $224K/yr
5+ years expAmazon is a leading technology company that focuses on cloud computing and AI solutions. They are seeking a Software Engineer II to work on the AWS Neuron SDK, which accelerates deep learning workloads on custom ML hardware. The role involves developing, optimizing, and enabling machine learning models for deployment on AWS accelerators while collaborating with cross-functional teams.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Bachelor's degree in computer science or equivalent
5+ years of non-internship professional software development experience
5+ 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 some 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
Medical
Financial
Other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-08
Maryland Daily Record
2026-01-08
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