This leader thinks beyond traditional physical part packaging, using modeling, numerical optimization, and data to redefine how electrical and electronics systems are physically realized - bridging advanced analytical methods with real-world vehicle execution to translate complex trade-offs of inputs and outputs into clear, data-driven decisions that improve cost, performance, and development velocity at scale. What Will Give You A Competitive Edge (Preferred Qualifications): Master's degree (or PhD) in Computational Science, Engineering and Mathematics, Operations Research & Industrial Engineering, Applied Mathematics, Engineering, Computer Science, Physics, or other relevant disciplines.