Periodic Labs develops AI-driven scientific agents and fully autonomous laboratory platforms that enable rapid, data‑rich experimentation. By combining advanced machine learning models with robotic lab infrastructure, the company accelerates hypothesis generation, experiment design, and execution across chemistry, biology, and materials science. Its unique integration of AI scientists and self‑operating labs reduces human intervention, shortens discovery cycles, and delivers reproducible results at scale. With a culture that prioritizes interdisciplinary collaboration and continuous innovation, Periodic Labs is positioned to transform how research teams accelerate scientific breakthroughs.
Open Positions
Research Scientist, Thin Films
PhD in chemistry, physics, or materials science with 5+ years of experience in thin-film synthesis and characterization
Mechanical Engineer
BS in Mechanical Engineering or related field; 3+ years in mechanical design and vendor-facing manufacturing; strong CAD and GD&T skills
Automation Engineer
BS in EE/CS/ME/Controls or equivalent; 5+ years in lab automation, integration, or industrial automation software; Strong experience with scripting/programming (Python preferred)
LLM Inference Engineer
Experience with optimizing inference, high-performance model serving frameworks, and distributed inference techniques
Research Scientist, Materials Characterization
PhD in Physics or Materials Science with 5+ years of experience in physical property characterization
Distributed Training Engineer
Experience with training on clusters with ≥5,000 GPUs, 5D parallel LLM training, and distributed training frameworks
Research Engineer - Posttraining
4-5 requirements, including experience with RL environments, evals, and training datasets
Systems Engineer
BS in Mechanical, Electrical, Systems, or related engineering field, 3+ years commissioning or bringing up complex lab, pilot, or manufacturing equipment, hands-on experience with installation and testing of complex lab equipment
Research Engineer, Lab Automation
PhD in Materials Science or equivalent experience, with a track record of hands-on experimental work, and strong experimental design and data analysis skills
+22 More Jobs Available!
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