---
title: 'Head of Environmental Health & Safety (EHS) at Periodic Labs'
canonical: 'https://feeny.ai/job/head-of-environmental-health-safety-ehs-periodic-labs-menlo-park-k9rf9q4mgdth'
type: 'job'
last_seen: '2026-10-19'
---

# Head of Environmental Health & Safety (EHS) at Periodic Labs

- **Company:** Periodic Labs
- **Location:** Menlo Park, CA
- **Compensation:** $250k–$325k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/periodic-labs/0335ea7e-436c-4e50-a766-6b7d0b75e70a

## Job description

## About Periodic Labs

We’re an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what’s scientifically possible.

## About the Role

Periodic Labs is building an AI that can simulate science and verify its own predictions — training on the full scientific method. Central to that mission is a high-throughput experimental materials science lab that handles hazardous chemistries, high-pressure and high-temperature processes, air-sensitive synthesis, toxic gas exposure risks, and an expanding suite of thin-film deposition tools including PVD, PLD and the complexity of what we run overnight and autonomously is increasing every month. We believe EHS is integral to this ambition, not a compliance function bolted on after the fact, but a core design discipline that makes autonomous science possible. This EHS leadership role will build our safety architecture, defining permitting strategy, designing life safety systems, conducting process hazard analyses, and ultimately training our AI to reason about risk during experimental planning and execution.

## What You’ll Do

- Lead the site EH&S team through a hands-on approach to problem solving and operational support while promoting a strong safety and environmental culture. Ensure compliance with applicable EH&S regulations and standards, develop and improve programs aligned with company goals, and actively partner with lab and operations teams on day-to-day safety challenges. Own the digital EHS infrastructure, integrating inspections, training records, incident reporting, compliance tracking, KPI dashboards, action-item tracking, and audit workflows into a unified operational safety platform.
- Own and manage all permitting processes with local, state, and federal agencies: Fire Department/CUPA via Accela, CERS submissions for hazardous materials, AQMD/BAAQMD air permits, and TSDF coordination for hazardous waste.
- Maintain and update chemical inventory systems, SDS library, and hazard labeling in compliance with OSHA, CalEPA, and permitted MAQ thresholds including managing the expansion of our chemical inventory as new thin-film processes introduce HF-based wet chemistry, fluoride compounds, and specialty gases.
- Lead Hazard Communication (HazCom) and SDS training programs for lab staff, including night shift and autonomous overnight operation protocols.
- Coordinate EHS inspections and maintain required documentation and postings across both the existing powder lab and thin-film facility.
- Design and review life safety systems, including fire suppression, e-stop networks, gas detection (including toxic gas alarms for HF, H2Se, and other process chemistries), interlocks, alarm interfaces, and emissions/waste abatement systems such as baghouses and scrubbers.
- Conduct and document HAZOPs, PHA/FMEA, and risk assessments for new processes and lab systems, including high-pressure furnace operations, glovebox workflows, and thin-film deposition platforms.
- Establish operational readiness and laboratory reliability systems for autonomous operations, including pre-startup safety reviews (PSSR), commissioning validation, alarm rationalization, startup/shutdown procedures, and critical equipment inspection programs.
- Partner with automation and controls teams to implement machine safeguarding, fail-safes, interlocks, robotics safety controls, functional safety validation, safety PLC reviews, and automated motion hazard assessments for autonomous experimental systems.
- Collaborate with ML/AI engineers on training an LLM to reason through process hazards, risk assessments, and safety constraints during experimental planning and autonomous execution — making EHS a first-class input to our AI’s decision-making.

You Will Thrive in This Role If You Have

- 10+ years of experience in EHS, process safety, or chemical operations in labs, pilot plants, or manufacturing environments preferably in solid-state chemistry, materials science processing, or lab automation.
- Strong knowledge of EH&S regulations, standards, and best practices.
- Hands-on experience conducting HAZOPs or FMEAs and designing or reviewing functional safety systems.
- Certification in EH&S (e.g., Certified Safety Professional, Certified Industrial Hygienist) is a plus.
- Comfort working on-site in a fast-paced, high-complexity lab environment where experiments run 24/7 and the hazard profile evolves as new processes and equipment are introduced.

Especially Strong Candidates May Also Have

- Experience designing EHS systems for autonomous or semi-autonomous lab environments where processes run without continuous human supervision.
- Background supporting the build-out of a new laboratory facility, including coordinating permitting and safety system design in parallel with construction.
- Familiarity with AI or ML tools as applied to risk assessment, safety documentation, or experimental planning or genuine curiosity about how to apply them.
- Active participation in technical committees contributing to OSHA, NFPA, or IEC standard development.
- Demonstrated accomplishments recognized in your field.

Mechanics Minimum education: Bachelor’s degree or similar experience Location: Menlo Park, CA Compensation: $250,000–$325,000 + equity Visa sponsorship: Yes, we sponsor visas.

## About Periodic Labs

## Company Overview
- **One-liner**: Periodic Labs is building AI scientists and autonomous laboratories to accelerate scientific discovery in the physical sciences, starting with materials design and semiconductor research.
- **Entity Type**: Private (seed-stage, $300M total funding raised in 2025)
- **Headquarters**: San Francisco, California, USA (primary) and Menlo Park, California, USA (dual locations) [cbinsights.com](https://www.cbinsights.com/company/periodic-labs), [linkedin.com](https://www.linkedin.com/company/periodic-labs)
- **Founded**: 2025 [cbinsights.com](https://www.cbinsights.com/company/periodic-labs)
- **Founders**: Ekin Dogus Cubuk (Co-Founder) and other undisclosed founding team members with backgrounds at OpenAI, DeepMind, and Google [linkedin.com](https://www.linkedin.com/company/periodic-labs), [periodic.com](https://periodic.com/)

## Core Business
- **Primary industry/industries**: Physical sciences R&D, artificial intelligence, autonomous laboratory systems
- **Target customers**: B2B – enterprises in semiconductor manufacturing, materials science, energy, and other deep-tech sectors requiring experimental research
- **Mission or purpose statement**: “Our goal is to create an AI scientist” that can autonomously hypothesize, run experiments, and learn from results to discover new materials and accelerate technological progress [periodic.com](https://periodic.com/)

## Products & Services
- **AI Scientist**: A suite of AI models trained to generate hypotheses, design experiments, and interpret results across physical science domains.
- **Autonomous Laboratories**: Fully automated, high-throughput experimental platforms that produce large volumes of high-quality data (including negative results) to train AI models. [periodic.com](https://periodic.com/)
- **Custom Agents for Industry**: Tailored AI agents for engineers and researchers, e.g., helping a semiconductor manufacturer analyze heat dissipation data to accelerate iteration. [periodic.com](https://periodic.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private seed-stage company)
- **Key Metric**: Total funding raised – $300M in a single seed round (2025) [cbinsights.com](https://www.cbinsights.com/company/periodic-labs)
- **Notable Investors/Partners**: a16z, Felicis, DST, NVentures (NVIDIA’s venture arm), Accel, Emerson Collective, Fellows Fund, Coatue; individual backers include Jeff Bezos, Elad Gil, Eric Schmidt, Jeff Dean. Also collaborating with academic advisors from Stanford, Northwestern, and more. [periodic.com](https://periodic.com/), [cbinsights.com](https://www.cbinsights.com/company/periodic-labs)
- **Growth Signals**: 40 employees as of mid-2026, with monthly headcount growth of +19.6% and 25 active job postings (+47.1% quarterly growth) [linkedin.com](https://www.linkedin.com/company/periodic-labs)

## Competitive Advantages
- **Proprietary data generation**: Autonomous labs produce massive, unique datasets (including valuable negative results) that do not exist in public literature, creating a data moat.
- **Founding team pedigree**: Core team co-created ChatGPT, DeepMind’s GNoME, OpenAI’s Operator (Agent), MatterGen, and scaled autonomous physics labs – rare concentration of AI + science talent. [periodic.com](https://periodic.com/)
- **End-to-end integration**: AI models, simulation, and physical experimentation are all in-house, enabling rapid closed-loop learning.

## Strategic Focus
- **Scale autonomous labs**: Expand capacity to generate experimental data across multiple physical science domains.
- **Target high-impact problems**: Superconductor discovery, semiconductor heat dissipation, and other materials challenges that can unlock Moore’s Law, advanced energy grids, and space travel. [periodic.com](https://periodic.com/)
- **Develop the first generation of AI scientists**: Train models that can operate independently of human input across the entire scientific method.

## Why Work Here
- **Culture**: “From bits to atoms” – a deep-tech startup blending frontier AI with hands-on lab work. Emphasis on rapid iteration and real-world impact.
- **Work policy**: In-office preferred; primary offices in Menlo Park and San Francisco, CA. Most roles are on-site. [builtin.com](https://builtin.com/company/periodic-labs)
- **Notable perks**: Work alongside world-class AI researchers and experimental scientists; access to cutting-edge automated lab equipment; early-stage equity and high-growth trajectory.
- **Engineering culture**: 34% of employees are in technical roles; talent sourced from OpenAI, Google DeepMind, Meta, xAI, and Stanford – strong peer learning environment. [linkedin.com](https://www.linkedin.com/company/periodic-labs)

## Sources
1. [periodic.com](https://periodic.com/)
2. [builtin.com](https://builtin.com/company/periodic-labs)
3. [cbinsights.com](https://www.cbinsights.com/company/periodic-labs)
4. [linkedin.com](https://www.linkedin.com/company/periodic-labs)
5. [jobs.ashbyhq.com/periodic-labs](https://jobs.ashbyhq.com/periodic-labs)

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