manager software engineering Engineering Manager hybrid Bachelor's · Posted Oct 13, 2025
$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 Cupertino, CA. The posting calls out experience with AWS, TensorFlow, PyTorch, Deep Learning. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $212,700–$287,700 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
Cupertino, CA
Education
Bachelor's degree
Department
Software Development
Posted
Oct 13, 2025
AI Summary
Lead a team of compiler engineers developing optimization algorithms for AWS Neuron SDK targeting custom ML hardware. Drive compiler innovation for deep learning inference and training at scale. Requires strong technical leadership, compiler expertise, and knowledge of resource management, code generation, and novel compute architectures.

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Job description

from Amazon careers

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple…

This is an excerpt. Read the full job description on Amazon careers →
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