Senior Systems Engineer, Customer Programs
AEye, IncAbout the role
<h2><strong>Senior Systems Engineer, Customer Programs</strong></h2> <p>We are looking for a Senior Systems Engineer to serve as the technical lead and primary point of contact for our customers. In this role you will define, evaluate, and optimize lidar system performance across algorithm design and production readiness, while leading customer engagements, deployments, and product demonstrations. You will work as the internal bridge between Business Development, Product Management, and Engineering, translating real-world customer requirements into measurable system objectives and carrying customer feedback back into the engineering roadmap. The role suits an engineer who is equally comfortable in point cloud data and in front of a customer.</p> <h2><strong>Key Responsibilities</strong></h2> <ul> <li>Customer technical lead: serve as the technical lead and main point of contact for automotive and industrial customers across pre-sales and post-sales, leading deployments and proof-of-concept projects.</li> <li>Demonstrations and presentations: execute product demonstrations and deliver technical presentations to both technical and non-technical audiences.</li> <li>Field troubleshooting and issue resolution: perform hands-on troubleshooting end to end, from hardware signals through software output, triage and resolve field issues including returns and failure investigation, and report defects with clear, actionable problem statements.</li> <li>Requirement definition and evaluation: gather requirements directly from customers and translate system-level objectives into measurable requirements, ensuring compliance across development phases.</li> <li>Point cloud and raw data analysis: perform in-depth analysis of lidar point cloud and raw sensor data to evaluate system capabilities and limitations.</li> <li>Sensor performance evaluation: characterize system behavior under diverse operating conditions, including weather, optical disturbances, and production variability, both in the lab and at customer sites.</li> <li>Data collection and analysis: design and execute data collection campaigns, and analyze large sensor datasets to extract insights that guide system improvements.</li> <li>Voice of the customer: carry field feedback and performance gaps back into the engineering roadmap.</li> <li>Feature and algorithm design: develop, test, and implement algorithms for point cloud processing, calibration, and system performance monitoring.</li> <li>KPI definition and testing: establish key performance indicators (for example range accuracy, false alarm rate, separability) and design validation methods.</li> </ul> <h2><strong> </strong></h2> <h2><strong> </strong></h2> <h2><strong>Qualifications
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