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 ML-accelerated interatomic potentials (MLIP) or differentiable simulation environments, such as MACE, UMA, Nequix, jax-md, torch-sim or similar
• Experience with materials informatics platforms or electronic lab notebooks (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 an equivalent combination of education and training or experience

Location: Our lab is located in Menlo Park and we prefer folks to be located in Menlo Park or San Francisco but can be flexible based on role

Compensation: The annual compensation range for this role - $180,000-$250,000

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