R&D Engineering Intern - Hydrogen Systems

Overview

This internship will involve supporting the design and validation of our commercial product. The intern will contribute to the design of a regenerative drying and purification system to enable efficient and continuous production of high-purity hydrogen. Working closely with an R&D engineer, the intern will characterize thermal/separation processes, develop control systems, and optimize operating parameters to satisfy key reliability and cost constraints.

As the directly responsible individual overseeing an experimental test station, the intern will develop a data analysis framework to provide key insights into long-term physicochemical phenomena. The role may involve working with vendors to design and develop custom components.

• Support the design and validation of the commercial product and its regenerative drying and purification system.
• Characterize thermal and separation processes; develop control systems; and optimize operating parameters to meet reliability and cost targets.
• Oversee an experimental test station and develop a data analysis framework to provide insights into long-term physicochemical phenomena.
• Collaborate with R&D engineers and vendors to design and develop custom components as needed.

• Currently pursuing or recently completed a B.S. or M.S. in Chemical, Materials, Mechanical, Environmental Engineering, Chemistry, Physics, or a related field.
• Comfortable working with basic mechanical and electrical components; able to troubleshoot independently; motivated to take ownership of hands-on lab work.
• Strong fundamentals in one or more of the following areas: thermodynamics, fluid mechanics, heat and mass transfer, reaction kinetics, phase equilibria.
• Thrive in a fast-moving environment and can learn, iterate, and execute with velocity.
• Available to start in March/April 2026 and work on-site in Mountain View, CA.
• Highly organized with strong attention to detail and a commitment to follow-through.
• Clear, thoughtful communicator who works well on small, collaborative teams.