# Process Engineer, Powder at Periodic Labs

- Company: Periodic Labs
- What the company does: From bits to atoms. Backed by Accel, Lightspeed and a16z.
- Company website: https://periodic.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Menlo Park, CA
- Work setup: On-site
- Pay: $225K to $300K base salary per year (USD)
- Posted: 2026-05-08
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/periodic-labs/21b61a4d-92ff-4f98-9a7c-251f02966988
- Page: https://www.1752.vc/careers/jobs/periodic-labs-process-engineer-powder/

## About the role

As Periodic Labs scales the experimental engine behind our AI-driven materials discovery platform, we’re hiring a Process Engineer to own the end-to-end workflow of our powder synthesis lab. You’ll work directly across dispensing, mixing, pressing, reaction, recovery, and characterization — building the systems, controls, and instincts that keep a high-mix, fast-moving research process producing trustworthy data at increasing throughput.

## What they're looking for

- A degree in chemistry, materials science, chemical engineering, or a related field, with hands-on experience in solid-state chemistry, ceramics, or powder processing
- Experience as a process engineer (or closely adjacent role) in a high-mix R&D, pilot, or manufacturing environment — ideally one that involved both intentional recipe variation and tight process discipline
- Strong systems thinking — you can break an unfamiliar process into clear inputs, outputs, and unit operations, and quickly build mental models of how the black boxes inside actually behave
- Working knowledge of statistical process control (SPC), six sigma or lean concepts, and design of experiments (DOE), with comfort using tools like JMP or Minitab
- Hands-on familiarity with characterization techniques relevant to powders and ceramics — e.g., X-ray diffraction (XRD), scanning electron microscopy (SEM) — and with high-temperature processing of ceramic materials
- Comfort with equipment troubleshooting and a healthy bias toward getting your hands on the tool, the data, and the operator workflow when something goes wrong

Tags: Science