---
title: Senior Research Engineer, AI Assisted Chip Design
description: Google is hiring for the Senior Research Engineer, AI Assisted Chip Design, DeepMind
  role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/senior-research-engineer-ai-assisted-chip-design-deepmind-at-google-01a17d2a-b5a0-7965-82e4-1ba8f0106fb9
date: 2026-11-15T01:26:44Z
og_description: Join Google as Senior Research Engineer, AI Assisted Chip Design, DeepMind in
  Mountain View, CA. Pays $174K–$252K per year.
og_image: https://www.foundrole.com/og/bis8op.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | Mountain View, CA |
| **Salary** | $174K/yr - $252K/yr |
| **Posted** | Oct 27, 2026 |

## Is this job real?

**Ghost job check:** A- · 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

In this role, you will develop and apply state-of-the-art AI methods—including multi-turn agentic flows, reinforcement learning (RLVR, RLAIF, RLHF), and evolutionary search to chip design, collaborating closely with research and production silicon teams across Google.  

As a part of the team, composed of research scientists, research engineers, and software engineers, has already delivered significant impact on real products and flagship Google silicon through foundational research breakthroughs. You will work in lockstep with hardware architects, RTL/DV engineers, and ML model developers to integrate cutting-edge research directly into production chips.  

As a part of the AI-assisted chip design team, you will leverage Gemini to optimize the EDA life-cycle and significantly accelerate silicon development. You will solve complex challenges across all design stages, improve Gemini for silicon applications to streamline hardware design and verification, enhance efficiency, and reduce time-to-market.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 varied learning opportunities and 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/).

- Architect, build, and scale multi-turn agentic flows with Gemini and evolutionary workflows (e.g., AlphaEvolve) for improving chip design.
- Develop and curate LLM benchmarks for chip design to evaluate and advance frontier model capabilities.
- Leverage scalable evaluation and Reinforcement Learning (RL) post-training workflows to improve Gemini models for chip design.
- Build on the momentum of landmark AI-for-silicon breakthroughs, where our AI-driven RTL and logic optimization methods have delivered substantial power, performance, and area (PPA) improvements on flagship production chips, and help shape the future of the chip design industry.
- Use AI to solve some of the most complex tasks in automating chip design, such as spec-to-RTL generation, RTL optimization, RTL debugging, and automated Design Verification (DV).

### Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).  
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

### Preferred qualifications:

- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.

- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).  
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
## Skills

- Technical Leadership
- Software Design
- Register Transfer Language RTL
- Software Development
- Generative AI
- Large Language Models (Llm)
- Computer Engineering
- Computer Science
- Generative AI Foundations

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