About Periodic Labs We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.
About
the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. We’re building an autonomous lab to speed up materials discovery, and we need someone who loves making instruments, robots, and data systems play beautifully together. As our Automation Engineer, you’ll turn scientific workflows into working software and integrations by designing clear data models, connecting instruments and automation to our lab information systems, and making sure everything runs in sync, safely, and reliably.
Responsibilities Collaborate with bench scientists to translate experiments and lab workflows into clear integration specs and data models. Work with integrators to design and build automated workcells for materials R&D. Build and maintain services that connect instruments and robots to lab information systems. Develop instrument drivers that automate lab workflows by generating command sequences and invoking vendor API/SDK methods. Collaborate with AI and data scientists to tightly integrate the autonomous lab with AI models for analysis and planning of experiments.
Qualifications BS in EE/CS/ME/Controls or equivalent. 5+ years in lab automation, integration, or industrial automation software. Hands-on experience with robotic lab automation systems. Strong experience with scripting/programming (Python preferred). Familiarity with APIs, databases, and enterprise software integration. Hands-on experience with information management and execution systems, such as LIMS or MES.
Bonus
qualifications Experience with containers, CI/CD, and Git-based workflows. Background in lab informatics or scientific data management. Demonstrated accomplishments recognized in your field
Process Engineer, Powder
Research Engineer - Data
Supercompute Engineer
ML Systems Engineer
Environmental Health and Safety
Salary
$200,000 - $300,000
Location
Menlo Park, California, United States
Total raised
$300.0M
Last stage
Seed
Investors
Ekin Dogus Cubuk
Co-founder
Liam Fedus
Co-founder
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.