A Systems Design Engineer responsible for developing and implementing models of battery refining and manufacturing processes to optimize efficiency, detect equipment issues, and improve plant operations through cross-disciplinary collaboration and data integration.
Key Responsibilities
Develop models for battery refining and materials production processes using first-principles modeling
Design and implement control algorithms to optimize plant operations
Integrate live factory data into models to detect equipment anomalies
Own and maintain controls-plant model software and perform in-the-loop tests
Collaborate with cross-functional engineering teams to gather requirements and deliver solutions
Apply knowledge of mechanical, thermal, chemical, and control systems to accurately model plant behavior
Design high-level control strategies based on simulation and data analytics
Requirements
A Master of Science (M.S.) degree in Mechanical, Chemical, Electrical Engineering, Physics, or equivalent experience.
At least 2 years of experience in Systems Design Engineering and first-principles modeling, preferably with multi-physics simulations.
Proficiency in Python and/or simulation software with functional software engineering skills.
Strong grasp of mechanical, electrical, and thermodynamic fundamentals.
Experience with complex system design.
Ability to implement complex system models integrating mechanical, thermal, chemical, and control theories in custom software.
Ability to design and implement control algorithms that optimize plant operations.
Experience owning and maintaining controls-plant model software and conducting software-in-the-loop tests.
Ability to navigate cross-functional engineering teams to gather requirements and deliver solutions.
Experience integrating live factory data into models to detect equipment anomalies.
Ability to optimize plant efficiency through modeling support.
Knowledge of motors, pumps, sensors, actuators, and thermodynamic systems to accurately model plant behavior.
Designing high-level control strategies informed by simulation and data analytics.
Self-motivated, hands-on attitude with willingness to contribute at all levels.
This is a full-time position based in Reno, NV, requiring onsite presence.
Benefits & Perks
Compensation will be commensurate with experience
Full-time position
Ready to Apply?
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