Senior Component Systems Engineer, Camera Sensors

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development. Mission Summary: Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle’s vision sensors. This position serves as the primary technical owner for the development, validation, and production readiness of our vision sensors. The incumbent will ensure that sensors adhere to all functional requirements and quality standards, and will support sensor delivery to satisfy all performance, cost, and timing objectives.   Key Responsibilities: Develop and manage component-level technical requirements throughout the program development lifecycle. Lead technical collaboration with component suppliers, serving as the internal technical expert for the component. Ensure all components comply with specifications for performance KPIs, safety, and reliability. Guarantee that components adhere to relevant industry standards and regulatory requirements. Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals. Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture. Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels. Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.   What We’re Looking For: 7+ years of experience in automotive component design, development and integration. Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology, Optoelectronics (or a related field). Demonstrated knowledge of optical systems, encompassing the construction and design of camera components. Experience with machine vision camera design, development and integration. Understanding of high-throughput Image Signal Processing (ISP) pipeline design and implementation. Experience with automotive communication protocols including CAN, CAN-FD, Ethernet, GMSL, and FPD-Link. Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++) for testing, validation, and interaction with camera hardware. Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits. Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators. Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash). Experience with automotive environmental, EMI, and shock/vibration testing. Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint sensor impairments that negatively affect autonomous system performance. Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.