manager software engineering Engineering Manager hybrid · Posted Jan 27, 2026
$212,700 – $287,700
USD per year

About this role

Amazon is hiring a manager-level Engineering Manager in the software engineering function based in Seattle, WA. The posting calls out experience with AWS, TensorFlow, PyTorch, Linux. Compensation is listed at $212,700–$287,700 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
Seattle, WA
Department
Software Development
Posted
Jan 27, 2026
AI Summary
Lead a team developing high-performance monitoring and profiling tools for AWS ML accelerators (Inferentia, Trainium). Manage the Neuron Profiler's full development lifecycle, collaborate cross-functionally on compiler/runtime integration, and drive support for multiple ML frameworks like PyTorch and TensorFlow.

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Job description

from Amazon careers

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the Tools Team, you will be responsible for leading a talented team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will oversee the design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, TensorFlow, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific…

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