---
title: Research Software Engineer, DeepMind at Google
description: Google is hiring for the Research Software Engineer, DeepMind role in New York,
  NY. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/research-software-engineer-deepmind-at-google-01a0ede3-2cc3-76c4-8af5-a5f08bfe8e48
date: 2026-11-15T01:26:44Z
og_description: Join Google as Research Software Engineer, DeepMind in New York, NY. Pays $147K–$210K
  per year. Requires 2+ years of experience.
og_image: https://www.foundrole.com/og/5zz42i.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** | $147K/yr - $210K/yr |
| **Posted** | Sep 29, 2026 |

## 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

At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

Help design and build innovative ways of working with AI systems. Collaborate with research scientists and engineers to advance the frontier of human-AI interaction and expand the capabilities of AI for users.  

This role requires software engineering expertise combined with an applied understanding of machine learning and interface design.  

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits  

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

- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

### Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.
- 5 years of industry experience with 2 years in machine learning or software engineering.
- 2 years of experience with software development in one or more programming languages.

### Preferred qualifications:

- Master's degree or PhD in Computer Science or related technical fields.
- Experience developing accessible technologies.

- Bachelor’s degree or equivalent practical experience.
- 5 years of industry experience with 2 years in machine learning or software engineering.
- 2 years of experience with software development in one or more programming languages.
## Skills

- Robotics
- Testability
- Visualization
- Algorithms
- Edge AI
- Software Development
- Computer Science
- Machine Learning

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