USD per year
Customer Engineer
Location
Menlo Park
Address
Menlo Park, California
Employment Type
Full time
Location Type
On-site
Department
Atoms: Research Lab, physics, chemistry
OverviewApplication
The most important scientific discoveries of our time won’t happen in a traditional lab. 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
Most companies that hire Customer Engineers that are deploying software. At Periodic Labs, you’ll be deploying something more complex: AI models trained on physical science, connected to a live autonomous lab, in service of some of the hardest materials and process engineering problems on earth. This is the first hire of its kind at Periodic, and the role doesn’t come with a playbook. Our customers are large industrial organizations — in semiconductor advanced packaging, aerospace, energy, and advanced manufacturing — sitting on decades of process data, unsolved High Value Problems, and internal teams who are skeptical of vendors by default. Your job is to embed with them, earn their technical trust, rapidly scope the right problem, and then work back into Periodic’s AI and lab capabilities to actually solve it. You are not a support function. You are the tip of the spear. Expect to be on-site with customers regularly — in fabs, on factory floors, in engineering war rooms. Expect to work in environments where the problems are real, the stakes are high, and the people you’re working with are world-class engineers who will immediately know if you’re faking it. Bring back what you learn. Every deployment you run should make Periodic’s models, data pipelines, and lab workflows better for the next one.
What You’ll Do
- Embed with customer engineering and R&D teams — in person, on site — to understand their most critical technical problems at depth. Not from a slide deck. From standing next to them on the production floor or in the fab.
- Rapidly scope and frame what Periodic can credibly solve: which customer problems map onto our AI models, our lab capabilities, or our data pipelines — and which ones don’t. Have the judgment and the courage to say so.
- Own end-to-end delivery for your customer engagements: from problem definition and data ingestion, through model runs, experimental design, and results interpretation, to a deliverable the customer actually uses.
- Build and adapt technical integrations on the fly — data pipelines, API connections, experiment configuration, model inference workflows — using Periodic’s internal stack. This is an engineering role.
- Translate messy, real-world customer data (fab process records, metrology outputs,...
Periodic Labs aims to create an AI scientist and autonomous laboratories for them to operate, focusing on accelerating science in the physical sciences. They build AI scientists and autonomous labs to generate high-quality experimental data, enabling new scientific discoveries and applications such as discovering higher-temperature superconductors and aiding semiconductor manufacturers.
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