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As a Nanofabrication Intern, you'll execute hands-on nanofabrication processes, support lithography, deposition, and etch workflows, and collaborate on experimental planning.

The HPC Engineer will design, operate, and optimize high-performance computing infrastructure, focusing on large-scale GPU and CPU clusters for AI and research workloads, ensuring performance and reliability for scientific discovery.

The ML Systems Engineer will design and manage efficient training and inference systems, optimize hardware utilization, and collaborate with researchers on RL loop integration, enhancing scientific discovery.

Optimize and develop large-scale distributed LLM training systems, support reinforcement learning workflows, and contribute to open-source frameworks.

Periodic Labs seeks exceptional candidates interested in AI and physical sciences. They encourage applicants to submit their profiles even without an open role.

The Automation Engineer will develop integrations and automate workflows in a lab setting, collaborating closely with scientists and AI engineers.

As a Software Engineer in MES, you'll develop and scale systems that manage automated materials synthesis, focusing on scheduling, workflow orchestration, and ensuring accurate data provenance.

Research Scientist will lead thin-film synthesis efforts, develop materials predicted by AI, and collaborate on predictive models and automation.

The Business Operations Lead will manage the coordination between research teams and operational needs, support research planning, and ensure that scientific progress translates to product outcomes.

The Procurement & Finance Operations Manager will lead procurement, finance operations, vendor management, and develop systems for inventory tracking and cost analysis in lab environments.