manager software engineering Engineering Manager hybrid Bachelor's · Posted Feb 4, 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 Cupertino, CA. The posting calls out experience with AWS, PyTorch, LLMs, 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
Work mode
On-site
Education
Bachelor's degree
Department
Software Development
Posted
Feb 4, 2026
AI Summary
Lead a team of compiler engineers developing optimization algorithms for AWS Neuron deep learning compiler targeting custom hardware. Requires strong technical leadership, compiler expertise, and collaboration with ML services teams on pre-silicon design and product launches.

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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 delivers 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, runtime and natively integrates into popular ML frameworks, such as PyTorch and JAX. .AWS Neuron and Trainium are used at scale with customers and partners like PyTorch, Anthropic, Poolside, Decart, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovation in 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 disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When…

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