senior Software Engineer ic · Posted Mar 10, 2026
$184,900 – $250,200
USD per year

About this role

Amazon is hiring a senior-level Software Engineer based in Seattle, WA. The posting calls out experience with Python, CUDA, AWS, PyTorch. Compensation is listed at $184,900–$250,200 per year.

Role
Software Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Seattle, WA
Department
Software Development
Posted
Mar 10, 2026
AI Summary
Senior software engineer optimizing deep learning inference on AWS custom ML accelerators (Inferentia/Trainium). Develop high-performance kernels, work across ML frameworks to hardware, and mentor engineers. Enable large language models like Llama and DeepSeek for optimal performance at scale.

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Job description

from Amazon careers

The 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, 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…

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