Senior Systems Engineer, AEye

• Bachelor's degree in Electrical Engineering, Physics, Applied Physics, Optics, Mechatronics, or a related field
• 8+ years of experience in optoelectronic or sensor systems engineering, preferably in lidar or active depth sensing
• Experience collaborating across architecture, hardware, software, and mechanical teams to drive system and subsystem specifications
• Proficiency in system simulation, performance modeling, and data analysis
• Strong grounding in the physics of the system: lasers and device physics, optics, and signal processing, together with the optical, electrical, mechanical, and thermal aspects of system design
• Proficiency in scripting for modeling, data analysis, and test automation (Python preferred)
• Hands-on experience evaluating and characterizing optical or electro-optical subsystems, including prototype bring-up, lab and field testing, and common failure modes
• Experience with sensor calibration, production integration, and the transition of prototypes into production
• Strong technical documentation: requirements, specifications, test plans, and reports

Desirable

• We are looking for a Senior Systems Engineer to join our systems engineering team and collaborate with internal architecture, hardware, software, firmware, and mechanical teams to drive the specifications of AEye's lidar and its variants
• You evaluate and characterize lidar technologies and products, develop physics-based models, build and test prototype modules and samples, and run lab and field tests to validate performance against specifications
• Working across cross-functional teams, you help meet system-level targets, partnering with engineering, program, and business development
• Specification and requirements: collaborate with internal architecture, hardware, software, firmware, and mechanical teams to drive the specifications of the lidar and its variants. Help decompose system-level targets into subsystem requirements (EE / ME / FW / SW)
• Evaluation and characterization: evaluate and characterize lidar technologies, subsystems, and products. Develop physics-based models to predict and assess performance, and define the KPIs (for example range, accuracy, false alarm rate, separability) used to measure it
• Prototyping and validation: define and work on prototype modules and samples, perform bench bring-ups, and execute lab and field tests to validate module performance against specifications, including environmental and eye-safety standards
• Cross-functional collaboration: work with cross-functional teams to meet system-level targets, debug hardware and software interfaces, and resolve data quality and point cloud issues at the system level
• Manufacturing transition: support the transition of prototypes through R&D validation into production, including production integration, calibration, and design-for-x