Research Engineer, Lab Automation

4 Hours ago • All levels
Research Development

Job Description

Periodic Labs is an AI + physical sciences lab focused on novel scientific discoveries, rapidly growing and well-funded. They seek a materials-minded Research Engineer for their groundbreaking lab in Menlo Park, where AI and automation accelerate materials research. The role involves collaborating with materials scientists to automate scientific processes, prototyping and testing systems with mechanical and robotics engineers, and refining them into production-ready tools for reliable data generation.
Good To Have:
  • Broad general experience with inorganic materials synthesis, characterization, and testing
  • Experience selecting, operating, and maintaining scientific instruments
  • Accomplishments recognized in your field
Must Have:
  • Translate scientific goals into automation roadmaps
  • Plan, run, and analyze proof-of-concept experiments
  • Write user requirements and partner with engineers/vendors
  • Co-develop and evaluate lab automation prototypes
  • Define data and metadata needs for automated workflows
  • Support installation and commissioning of lab systems
  • PhD in Materials Science or equivalent experience
  • Track record of hands-on experimental work
  • Demonstrated engineering instincts in automation
  • Strong experimental design and data analysis skills (e.g., Python)
  • Familiarity with thin films, solid-state synthesis, in-situ characterization, or automated property testing
  • Clear communication skills for scientists, engineers, and vendors

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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.

What to Expect

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 looking for a materials-minded Research Engineer who is excited by the prospect of using lab automation and AI to accelerate the discovery of new materials. You’ll collaborate with our materials scientists to conceptualize new ways to automate scientific processes, and work with mechanical and robotics engineers to prototype and test proof-of-concept systems, and eventually refine them into production-ready tools that can generate reliable data every day.

Responsibilities

  • Translate scientific goals into an automation roadmap: identify high-value targets, outline benefits and risks, and prioritize what to build next.
  • Plan, run, and analyze proof-of-concept experiments
  • Write clear user requirements and partner with engineers and vendors to turn them into practical designs and build plans.
  • Co-develop and evaluate prototypes designs—iterate quickly with mechanical, robotics, and controls engineers to develop reliable lab automation systems
  • Define data and metadata needs so automated workflows produce trustworthy, reusable results.
  • Support installation and commissioning; ensure the resulting system fits the lab’s safety, usability, and reliability standards.

Qualifications

  • PhD in Materials Science (or related field) or equivalent experience, with a track record of hands-on experimental work.
  • Demonstrated engineering instincts—custom instruments, automation-focused PhD work, or post-PhD industry experience in automation.
  • Strong experimental design and data analysis (e.g., Python or similar), with a bias toward measurable results.
  • Familiarity with one or more relevant domains: thin films, solid-state synthesis, in-situ characterization, or automated property testing.
  • Clear communicator who can translate between scientists, engineers, and vendor partners.

Bonus Qualifications

  • Broad general experience with inorganic materials synthesis, characterization, and testing
  • Experience selecting, operating, and maintaining scientific instruments
  • Accomplishments recognized in your field

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