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Periodic Labs

AI-driven materials discovery and design

Research Engineer - Semiconductor

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USAIn-person

About the Job

Requirements

  • A Master of Science or Doctor of Philosophy degree in Materials Science, Electrical Engineering, Physics, or a related field, plus relevant industry experience.
  • Semiconductor industry experience in device development or process integration, preferably from an integrated device manufacturer, foundry, or memory manufacturer.
  • Strong command of device physics and integration flows, with a track record of demonstrating device performance in short-loop test vehicles.
  • Hands-on fabrication experience spanning photolithography, laser direct-write lithography or e-beam lithography, thin-film deposition, etch, and metrology.
  • A deep understanding of how materials selection and interface quality drive device performance.
  • Proficiency in probe-station device measurement and the ability to architect and assemble custom electrical test setups.
  • Ability to operate effectively in a fast-paced, ambiguous startup environment while implementing industry-standard best practices.

Responsibilities

  • Design, fabricate, and characterize short-loop device test vehicles that demonstrate material and device performance against clear electrical targets.
  • Build patterned devices end-to-end using photolithography, direct-write laser lithography, or e-beam lithography, integrated with deposition, etch, and metrology.
  • Deposit thin-film stacks with engineered, complex interfaces using physical vapor deposition, pulsed laser deposition, molecular beam epitaxy, and atomic layer deposition or chemical vapor deposition techniques.
  • Perform electrical characterization on probe stations and design and build custom measurement test benches where commercial tools fall short.
  • Connect materials and interface properties to device outcomes, feeding insights back into film-stack and process development.
  • Contribute technical expertise to customer-facing engagements by translating customer needs into experimental plans and results.
  • Document experimental methodology, results, and learnings to feed internal knowledge and artificial intelligence training infrastructure.

Desired Qualifications

  • A strong condensed matter physics foundation, spintronics, magnetic materials, or quantum phenomena.
  • Working knowledge of emerging memory and logic device architectures.

About the Company

Periodic Labs

AI-driven materials discovery and design

Periodic Labs uses artificial intelligence to model, predict, analyze, and design new materials. Its platform learns from large scientific datasets to suggest viable material compositions, structures, and processing methods that meet performance targets. The team combines AI expertise from OpenAI and DeepMind, applying it specifically to materials science to offer data-driven material design for energy, electronics, and manufacturing. The company aims to accelerate materials discovery, enabling clean energy, better semiconductors, and stronger supply chains by reducing the time and cost of traditional research.

Company size
51-200
Company stage
Seed
Total funding
$300M
Headquarters
Menlo Park, CA
Founded
2025

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