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

As a Research Engineer, Semiconductor, you’ll own device-level validation of our materials work, taking novel thin-film stacks from deposition through patterned test vehicles to measure electrical performance. You’ll design and run short-loop experiments that demonstrate how materials and interfaces translate into device behavior, leveraging both internal and external lab resources. You’ll also contribute technical expertise to customer-facing engagements, and this role blends deep hands-on capability with the flexibility to work across teams and partners to solve hard materials problems.

What You’ll Do

• 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 PVD, PLD, MBE, and ALD/CVD 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, translating customer needs into experimental plans and results.

• Document experimental methodology, results, and learnings to feed both internal knowledge and AI training infrastructure.
  

You Will Thrive in This Role If You Have

• MS or PhD in Materials Science, Electrical Engineering, Physics, or a related field, plus relevant industry experience.

• Semiconductor industry experience in device development or process integration, background at an IDM, foundry, or memory manufacturer strongly preferred.

• 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 lithography (photo, laser direct-write, or e-beam), 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, plus the ability to architect and assemble custom electrical test setups.

• A strong condensed matter physics foundation, spintronics, magnetic materials, or quantum phenomena, is a plus.

• Working knowledge of emerging memory and logic device architectures is a plus.

• Startup-ready mindset: able to operate effectively in a fast-paced, ambiguous environment while implementing industry-standard best practices.
  

Mechanics

• Minimum education: Master’s degree with relevant experience

• Location: Menlo Park, CA

• Compensation: $220k - $300k + equity

• Visa sponsorship: Yes, we sponsor visas and will do everything we can to assist in this process with our legal support.
  

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 AI systems that reason over quantum mechanical simulations to accelerate materials discovery — and we need engineers who can take that capability directly into the hands of the scientists and organizations who need it most. As a Forward Deployed Engineer focused on quantum simulations, you will embed with customers and research partners to understand their simulation workflows, translate their scientific needs into working solutions, and close the gap between what our platform can do and what the world's best materials scientists require.

This is a technical and scientific role, not a pure account management role. You will write code, debug workflows, configure integrations, and surface product gaps back to our internal teams. You will be the person in the room who understands both the physics of a density functional theory calculation and the API call needed to run it at scale. You will work directly with customers ranging from advanced semiconductor manufacturers to national labs to energy companies — and your work will directly shape how Periodic Labs grows into these markets.

What You'll Do

• Embed with customers and research partners to understand their quantum simulation workflows — DFT, quantum chemistry, many-body perturbation theory, mesoscopic scale modeling or force-field-based methods — and translate those workflows into solutions built on Periodic Labs infrastructure

• Write and maintain integration code, custom scripts, and workflow automation that connect customer simulation environments (VASP, Quantum ESPRESSO, FHI-aims, CP2K, or similar) to Periodic Labs systems

• Configure, validate, and troubleshoot high-throughput simulation pipelines on cloud and HPC environments, ensuring accuracy, reproducibility, and performance

• Serve as the primary technical contact for a portfolio of customers, owning the relationship from initial deployment through steady-state operation and expansion

• Surface detailed product feedback — missing capabilities, integration friction, accuracy gaps — to Periodic Labs research and engineering teams and help prioritize the roadmap

• Collaborate with internal ML and materials science teams to test new simulation capabilities against customer use cases before release

• Develop reusable technical assets: onboarding guides, workflow templates, integration libraries, and best-practice documentation that accelerate future deployments

• Represent Periodic Labs at technical conferences, workshops, and customer sites — communicating our simulation capabilities credibly to expert scientific audiences

You Will Thrive in This Role If You Have

• 3–7 years of experience working with quantum chemistry or condensed matter simulation codes, either in research or in an applied/industry context

• Hands-on experience with at least one major ab initio or DFT code (VASP, Quantum ESPRESSO, FHI-aims, CP2K, GPAW, or equivalent)

• Strong programming skills in Python; comfortable scripting automation, parsing simulation outputs, and building lightweight tooling around simulation workflows

• Experience running and managing calculations on HPC clusters or cloud compute environments (AWS, GCP, Azure), including job schedulers such as SLURM or PBS

• Ability to communicate complex simulation concepts clearly to both technical and semi-technical audiences — you can explain exchange-correlation functionals to a physicist and convergence testing to a program manager

• A customer-facing or deployment-facing mindset: you take ownership of outcomes, communicate proactively, and don't wait to be told when something is broken

• Comfort operating in ambiguous, fast-moving environments where the product, the science, and the customer need are all evolving simultaneously

Especially Strong Candidates May Also Have

• Experience with Machine learned interatomic potentials (MLIPs) like MACE or UMA and differentiable MD simulation packages.

• Experience with materials databases and frameworks (e.g., the Materials Project, OQMD, AiiDA, or Atomate2 workflow frameworks)

• Familiarity with the Periodic Labs Onnes platform or similar AI-assisted experimental design systems

• Domain depth in a specific application area relevant to Periodic Labs customers: advanced semiconductor packaging, thin-film deposition, superconducting materials, or energy storage

• Prior experience in a forward deployed, solutions engineering, or field CTO role at a deep tech or scientific software company

Mechanics

Minimum education: Bachelor’s degree or similar experience

Location: Menlo Park, CA or Montreal, Canada. (Soon: San Francisco, too)

Compensation: The annual compensation range for this role - $200,000-$275,000

Visa sponsorship: Yes, we sponsor visas.

We're building a team of the world's best — the scientists, engineers, and problem-solvers who don't just follow the frontier, they define it. If you're driven to bring AI to life in the physical world and make discoveries that have never been made before, you belong here.