---
title: Software Engineer, Accelerators Software/Hardware Co
description: Google is hiring for the Software Engineer, Accelerators Software/Hardware Co
  Design, DeepMind role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/software-engineer-accelerators-software-hardware-co-design-deepmind-at-google-01a1586d-b13f-7c38-ba45-05380c724b18
date: 2026-11-15T01:26:44Z
og_description: Join Google as Software Engineer, Accelerators Software/Hardware Co Design, DeepMind
  in San Francisco, CA. Pays $174K–$252K per year.
og_image: https://www.foundrole.com/og/p0qp4m.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | Mountain View, CA |
| **Salary** | $174K/yr - $252K/yr |
| **Posted** | Oct 20, 2026 |
| **History** | First seen 85 days ago (2026-08-21), reposted once |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $179,000 – $254,000 a year (median $213,000).

## Description

We are building a next-generation compute platform for cutting-edge AI inference workloads, with an emphasis on innovative memory technologies, hardware acceleration, and software/hardware codesign.

At Google DeepMind you’ll be joining our team of scientists and engineers who are directly impacting the future of machine learning for Google and industry.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.  

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits  

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

- Collaborate with product teams to design, implement, and prototype novel software algorithms.
- Oversee software/hardware codesign, kernel optimization, performance benchmarking and optimization.
- Collect insights to influence future software and hardware design and the technology roadmap.

### Minimum qualifications:

- 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 and ML inference software.

### Preferred qualifications:

- PhD in Computer Engineering, Computer Science, or a related field.
- 2 years of experience with hardware accelerators, including architecture, software/hardware co-design, and performance optimization.
- 2 years of experience with collaborative, hyper-scaler software development and engineering best practices.
- Experience scoping, planning, and executing projects towards team goals in ambiguous environments.

- 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 and ML inference software.
## Skills

- Hardware Acceleration
- Performance Optimization
- Python
- Co-Design
- Algorithms
- Software Development
- Benchmarking
- Machine Learning Inference
- C++
- Computer Engineering
- Kernel Optimization
- Computer Science
- Hardware-Software Co-Design
- Machine Learning

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