Sr. Software Engineer- AI/ML, AWS Neuron Apps
Amazon - Seattle, Washington, USA
Posted Oct 30, 2025
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $168K-$227K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
70% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. Software Engineer- AI/ML, AWS Neuron Apps Seattle, Washington, USA Shape the Future of AI Accelerators at AWS Neuron Join the elite team behind AWS Neuron-the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale. What You'll Impact: • Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen • Optimize breakthrough language and vision generative AI models • Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration • Drive performance benchmarking and tuning that directly impacts millions of inference calls globally Key job responsibilities You will drive the Evolution of Distributed AI at AWS Neuron As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization-it's about revolutionizing how AI models run at scale. Technical Impact You'll Drive: • Spearhead distributed inference architecture for PyTorch and JAX using XLA • Engineer breakthrough performance optimizations for AWS Trainium and Inferentia • Develop ML tools to enhance LLM accuracy and efficiency • Transform complex tensor operations into highly optimized hardware implementations • Pioneer benchmarking methodologies that shape next-gen AI accelerator design What Makes This Role Unique: • Direct influence on AWS's AI infrastructure used by thousands of ML applications • Full-stack optimization
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