Full-Time

Mechanical Engineer

Posted on 10/31/2025

Periodic Labs

Periodic Labs

51-200 employees

AI-driven materials discovery and design

No salary listed

Menlo Park, CA, USA

In Person

Category
Mechanical Engineering (1)
Required Skills
GD&T
SolidWorks
Requirements
  • BS in Mechanical Engineering or related field
  • 3+ years in mechanical design and vendor-facing manufacturing (machining, sheet metal, plastics)
  • Strong CAD (SolidWorks & PDM), GD&T, tolerance analysis, and drawing control
  • Experience with fixtures, frames, and enclosures for mechatronic/automation systems
  • Comfortable onsite for installs and bring-up in a fast-paced lab environment
Responsibilities
  • Work with a multidisciplinary team of materials scientists and engineers to translate user and system requirements into mechanical specifications and clear interface definitions
  • Lead DFM/DFS with vendors; review drawings, GD&T/tolerance stacks, and materials/finishes
  • Define factory and site acceptance test criteria; witness tests and drive punch-list closure
  • Support onsite assembly, alignment, and anchoring; coordinate rigging with general contractors and facilities
  • Design and own fixtures, guarding, enclosures, and mounting solutions (off-the-shelf and custom)
  • Maintain bills of materials, revision control, and as-built documentation
  • Incorporate machine-safety and ergonomics; collaborate on interlocks and guarding
Desired Qualifications
  • Robotics/automation experience; exposure to P&IDs and utilities interfaces
  • FEA simulation for structural and thermal analysis
  • Demonstrated accomplishments recognized in your field

Periodic Labs uses AI to model, predict, analyze, and design new materials. Its platform studies material properties and high-throughput data to propose viable compositions, structures, and processing methods that meet performance targets. By training models on large scientific datasets and running simulations, the company speeds up discovery and lowers costs compared with traditional lab work, drawing on founders’ experience from OpenAI and DeepMind. The goal is to accelerate the discovery of materials for clean energy, better semiconductors, and resilient manufacturing, differentiating itself through deep AI expertise applied specifically to materials science and potential collaboration with major AI groups.

Company Size

51-200

Company Stage

Seed

Total Funding

$300M

Headquarters

San Francisco, California

Founded

2025

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $300M seed in September 2025 from a16z, Nvidia, Bezos, and others valuing at $1.5B.
  • Secured partnerships with semiconductor makers improving chip heat dissipation since October 2025.
  • In talks for hundreds of millions at $7B valuation as of early 2026.

What critics are saying

  • DeepMind's GNoME dataset from Cubuk's 2023 project blocks replication in 6-12 months.
  • Matlantis launches superior simulations in Q1 2026, undercutting chip partnerships.
  • Commerce export controls halt Nvidia AI chip supply in March 2026.

What makes Periodic Labs unique

  • Founders Liam Fedus and Ekin Dogus Cubuk combine OpenAI and DeepMind expertise in AI materials science.
  • Builds autonomous robotic labs running thousands of experiments daily with gigabytes of unique data.
  • Deploys AI agents with physical labs for semiconductors, space, defense, and nuclear fusion applications.

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Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-8%

2 year growth

-8%
TechCrunch
Sep 30th, 2025
Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science  | TechCrunch

Periodic Labs has raised from a tech industry who's who, including Andreessen Horowitz, Nvidia, Elad Gil, Jeff Dean, Eric Schmidt, and Jeff Bezos.

Bloomberg L.P.
Aug 8th, 2025
Ex-OpenAI, DeepMind Staffers Set for $1.5 Billion Value in Andreessen-Led Round

Venture firm Andreessen Horowitz has agreed to lead a $200 million investment in Periodic Labs, a new startup building artificial intelligence for material science, according to people familiar with the matter.

INACTIVE