---
title: 'Research Engineer, Chip Design RL (Reinforcement Learning) at Anthropic'
canonical: 'https://feeny.ai/job/research-engineer-chip-design-rl-reinforcement-learning-anthropic-san-francisco-dd8m1gnrgqpx'
type: 'job'
last_seen: '2026-09-11'
---

# Research Engineer, Chip Design RL (Reinforcement Learning) at Anthropic

- **Company:** Anthropic
- **Location:** San Francisco, CA / New York, NY
- **Compensation:** $500k–$850k
- **Posted:** 2026-07-13
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5231612008

## Job description

## About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

## About the RL teams

Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas:

- Developing systems that enable models to use computers effectively
- Advancing code generation through reinforcement learning
- Pioneering fundamental RL research for large language models
- Building scalable RL infrastructure and training methodologies
- Enhancing model reasoning capabilities

We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.

## About the role

We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at.

You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will:

- Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization.
- Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards.
- Conduct experiments and shape our roadmap.
- Deliver your work into research and production training runs.
- Collaborate with other researchers and engineers across and outside Anthropic.

You may be a good fit if you:

- Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs.
- Are fluent with industry EDA tools and processes.
- Have taped out chips and have experience going from spec to silicon.
- Know how to balance research exploration with engineering implementation.
- Are passionate about AI's potential and committed to developing safe and beneficial systems.

Strong candidates may also have:

- Experience with reinforcement learning, evaluations or environments.
- Built tooling or automation around chip design flows.
- Worked on ML accelerators or high-performance compute hardware.
- Familiarity with high-level synthesis or architecture simulators.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $500,000—$850,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit [anthropic.com/careers](http://anthropic.com/careers) directly for confirmed position openings.

## How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about [our policy](https://www.anthropic.com/candidate-ai-guidance) for using AI in our application process.

## About Anthropic

## Company Overview
- **One-liner**: Anthropic is an AI safety and research company building reliable, interpretable, and steerable AI systems.
- **Entity Type**: Private (Public Benefit Corporation) – [anthropic.com](https://www.anthropic.com/company)
- **Headquarters**: San Francisco, CA, USA – inferred from job listings on [anthropic.com/jobs](https://www.anthropic.com/jobs?lang=us)
- **Founded**: Not publicly available
- **Founders**: Not publicly available (the company website lists Dario Amodei and Daniela Amodei on the Board of Directors but does not explicitly identify them as founders – [anthropic.com/company](https://www.anthropic.com/company))

## Core Business
- **Primary industry**: AI safety and research; frontier AI model development
- **Target customers**: B2B – businesses, nonprofits, civil society groups, and end-users of its AI tools (e.g., Claude)
- **Mission/purpose**: “Making AI systems you can rely on” and “the responsible development and maintenance of advanced AI for the long-term benefit of humanity” – [anthropic.com](https://www.anthropic.com/) and [anthropic.com/company](https://www.anthropic.com/company)

## Products & Services
- **Claude**: AI assistant “designed to be helpful, honest, and harmless.” Deployed via API and direct interfaces for businesses, nonprofits, and individuals. Type: SaaS/API – [anthropic.com/careers](https://www.anthropic.com/careers) and [anthropic.com](https://www.anthropic.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total funding not disclosed in provided sources; the company operates with a large team and active hiring (56 open roles as of the search date)
- **Notable Investors/Partners**: Not publicly available from the provided search results (the company page lists board members including Reed Hastings and Vas Narasimhan, but does not specify investors)
- **Growth Signals**: 56 open roles across research, engineering, product, and operations; emphasis on scaling the team while maintaining a “high-trust, low ego” culture – [anthropic.com/jobs](https://www.anthropic.com/jobs?lang=us)

## Competitive Advantages
- **Safety-first differentiation**: Anthropic treats AI safety as a systematic science, investing heavily in interpretability, steerability, and reliability research.
- **Interdisciplinary team**: Researchers, engineers, policy experts, and operators work closely together; engineers often co-author research papers.
- **Public Benefit Corporation structure**: Legally committed to long-term benefit of humanity, not just shareholder value – [anthropic.com/company](https://www.anthropic.com/company)

## Strategic Focus
- **“Ignite a race to the top on safety”**: Pushing the industry toward safer AI through research, product deployment, and collaboration with governments and civil society.
- **Act for the global good**: Making decisions that maximize positive long-term outcomes for humanity, including bold safety measures – [anthropic.com/careers](https://www.anthropic.com/careers)

## Why Work Here
- **Culture**: “High-trust, low ego” organization that values what you can do over pedigree. About half of technical staff have no prior ML experience; half have PhDs. Engineers do research and researchers do engineering.
- **Remote/hybrid policy**: Most staff are in the Bay Area and come to the office regularly; some work remotely and visit one week per month. Flexible during relocation.
- **Benefits**: Comprehensive health/dental/vision, 22 weeks paid parental leave, fertility benefits (Carrot), $500/month wellness stipend, annual education stipend, home office stipend, daily meals in office, retirement matching, equity donation matching, visa sponsorship for eligible roles.
- **Interview process**: Technical roles use live coding (Colab/CodeSignal); non-technical roles are conversational. Accommodations available. No internships currently – [anthropic.com/careers](https://www.anthropic.com/careers)

## Sources
1. [Anthropic Company Page](https://www.anthropic.com/company)
2. [Anthropic Homepage](https://www.anthropic.com/)
3. [Anthropic Careers Page](https://www.anthropic.com/careers)
4. [Anthropic Jobs Board](https://www.anthropic.com/jobs?lang=us)

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- [Executive Escalations Manager](https://feeny.ai/job/executive-escalations-manager-anthropic-san-francisco-3jw4c23c6894) — San Francisco, CA / New York, NY / Seattle, WA
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