Periodic Labs
Automation Engineer
About this role
Join an AI and physical sciences company building autonomous lab systems to accelerate materials discovery. As a Research Engineer, you'll design and integrate software that connects lab instruments, robots, and data systems to enable AI-driven experimental workflows at scale.
What you'll do
- Translate scientific workflows into integration specifications and data models in collaboration with bench scientists
- Design and build automated workcells for materials research with integration partners
- Develop and maintain services connecting instruments and robots to lab information systems
- Create instrument drivers that automate lab workflows via vendor APIs and SDKs
- Integrate autonomous lab systems with AI models for experiment analysis and planning
What they're looking for
- Lab automation and industrial automation software
- Robotic lab automation systems
- Python programming and scripting
- APIs, databases, and enterprise software integration
- LIMS or MES (information management and execution systems)
- Containers and CI/CD workflows
- Scientific data management
- Systems integration design
Benefits
- Competitive annual compensation of $200,000–$250,000
- Visa sponsorship and legal support provided
- Work with world-class team of scientists and engineers
- Location flexibility between Menlo Park and San Francisco
- Opportunity to push frontiers in AI and physical sciences
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Periodic Labs
Periodic Labs builds AI systems and autonomous lab infrastructure to accelerate materials discovery and scientific research, integrating machine learning with physical lab workflows and quantum simulation. The company is hiring for infrastructure engineers, product engineers, research engineers, and deployment specialists who bridge AI models with materials scientists and lab automation systems.
View all jobs at Periodic LabsLikely interview questions
- Walk us through a lab automation project where you designed integrations between instruments, robots, and a LIMS or MES system. What were the biggest technical challenges and how did you solve them?
- Describe your experience writing instrument drivers or vendor API integrations. How do you typically handle API documentation gaps or non-standard vendor SDKs?