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# Software Engineer, ML Accelerators, DeepMind

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Computer Engineering, Software Debugging, Machine Learning, Performance Tuning, Systems Development Life Cycle, Software Engineering, Information Technology, Hardware Acceleration
- **Published:** August 25, 2026
- **Apply:** https://dejobs.org/x/x/4F1E3C0102F741A9B77D478A0EC64379/job/

## About the Role

* Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
 * Experience in software development using Python and C++.
 * Experience with machine learning (ML) hardware accelerators, ML compiler stacks (e.g., JAX, PyTorch, XLA), and kernel development., * PhD degree in Computer Engineering, Computer Science, or a related field.
 * 2 years of experience with full-stack system development for hardware accelerators.
 * 2 years of experience with collaborative, hyper-scalar software development and engineering best practices.
 * Experience scoping, planning, and executing projects towards team goals in ambiguous environments.

About the job

We are building a next-generation compute platform for AI inference workloads, with an emphasis on memory technologies, Hardware (HW) acceleration, and Software (SW)/HW codesign.

We are looking for enthusiastic engineers to join the project.

This is a coding role for engineers who like to take initiative and get things done, with a focus on ML compiler stack and inference infrastructure.

## Description

* Direct full-stack Software (SW) role, focusing on ML compiler and inference infrastructure.
 * Design and develop ML compiler stack to bridge AI workloads and low-level Hardware (HW) operators.
 * Design and develop SW infrastructure to enable high performance inference.
 * Drive SW/HW codesign, kernel optimization, performance tuning, and debugging.


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