Summer 2026

Nanofabrication Intern

Periodic Labs

Periodic Labs

51-200 employees

AI-driven materials discovery and design

No salary listed

H1B Sponsorship Available

Menlo Park, CA, USA

In Person

Category
Lab & Research (1)
Required Skills
Metrology
Requirements
  • Currently pursuing or recently completed a Bachelor’s, Master’s, or PhD in electrical engineering, materials science, applied physics, mechanical engineering, chemical engineering, chemistry, or a related field.
  • Hands-on experience in a university cleanroom, nanofabrication facility, semiconductor lab, photonics lab, MEMS lab, or related research environment.
  • Practical exposure to lithography, deposition, and etch processes. You do not need to be equally deep in every module, but you should understand how these steps connect in a device fabrication flow.
  • Experience working with silicon-based microelectronic, photonic, MEMS, optical, or semiconductor devices.
  • Comfort spending real time at tools, following cleanroom protocols, logging process details, and learning new equipment quickly.
  • Strong documentation habits and attention to detail. You record what actually happened in the experiment, not just what was intended.
  • Ability to work independently in shared research facilities while escalating issues appropriately and learning from senior team members.
Responsibilities
  • Execute hands-on nanofabrication processes for silicon-based microelectronic, photonic, MEMS, or optical devices, including lithography, thin-film deposition, etch, substrate preparation, and related cleanroom workflows.
  • Support lithography processes such as spin coating, baking, mask alignment, exposure, development, lift-off, and optical inspection.
  • Operate or support thin-film deposition processes such as sputtering, evaporation, PVD, PLD, ALD, PECVD, or related techniques.
  • Run or assist with etch processes such as wet etching, plasma etching, RIE, ICP-RIE, or other dry etch workflows.
  • Prepare substrates, manage process flows, track samples, and maintain detailed experimental records that meet the metadata and data quality standards required for AI training.
  • Perform basic structural, optical, electrical, or morphological characterization, potentially including profilometry, ellipsometry, SEM, optical microscopy, XRD/XRR, 4-point probe, or related metrology.
  • Work with senior scientists and engineers to troubleshoot process issues, identify failure modes, and iterate on recipes or workflows.
  • Collaborate with materials science, AI, and automation teams to connect fabrication results with model predictions and experimental planning.
  • Follow rigorous laboratory safety and facility protocols, including those required by external shared cleanroom facilities.
Desired Qualifications
  • Experience with full or partial device fabrication flows involving lithography, deposition, etch, and characterization.
  • Hands-on experience with specific tools or techniques such as mask aligners, spin coaters, sputtering, evaporation, ALD, PECVD, RIE, ICP-RIE, profilometry, ellipsometry, SEM, or 4-point probe.
  • Experience fabricating silicon photonics, MEMS, optoelectronic devices, sensors, thin-film devices, or other micro/nanoscale structures.
  • Experience working in shared cleanroom environments, including completing facility-specific safety training, navigating tool reservation systems, and operating within shared-use norms.
  • Exposure to functional materials in thin-film or device form, including oxides, nitrides, metals, semiconductors, superconductors, magnetics, ferroelectrics, or multilayer stacks.
  • Interest in working at the intersection of experimental science, nanofabrication, and AI-driven discovery.

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

  • Targets high-value materials breakthroughs in superconductors, semiconductors, and energy systems.
  • Already deploys with a semiconductor manufacturer on chip heat dissipation.
  • Huge investor backing supports long runway and aggressive talent acquisition.

What critics are saying

  • Autonomous labs fail if experiments produce noisy, non-reproducible data.
  • Superconductor discovery remains an extremely difficult decade-long scientific bottleneck.
  • Heavy competition for elite talent, lab partners, and customer mindshare.

What makes Periodic Labs unique

  • Founded by Liam Fedus and Ekin Dogus Cubuk from OpenAI and DeepMind.
  • Builds an AI scientist that runs experiments in autonomous robotic labs.
  • Combines models, simulations, and physical experiments for closed-loop discovery.

Help us improve and share your feedback! Did you find this helpful?

Your Connections

People at Periodic Labs who can refer or advise you

Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-9%

2 year growth

-9%
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.