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Staff LiDAR System Engineer

Seyond
CompanySeyond
CategoryEngineering
LocationSunnyvale
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted15 Aug 2025
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Who is Seyond?     Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and more mobile world across the automotive, intelligent transportation, robotics and industrial automation sectors. Founded in Silicon Valley with strategically placed research and manufacturing facilities across the globe, Seyond is crafting LiDAR solutions that elevate autonomous driving and fuel the advancement of smart infrastructure development. Our dynamic portfolio – including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi – powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon. Currently, over 200,000 Falcon units are in use, and the product continues to be mass-produced today.     Job Summary We are seeking a Staff LiDAR System Engineer to lead system-level architecture, performance optimization, validation, and application development for our LiDAR products. This individual will work closely with optical, electrical, mechanical, firmware, software, algorithm, product, and field application teams. The ideal candidate has broad technical expertise across complex sensing systems and can translate product and customer requirements into system architecture, engineering specifications, validation plans, and practical application solutions. The candidate should be capable of leading LiDAR system architecture activities and/or developing application software, tools, and prototypes that demonstrate and extend the capabilities of our LiDAR products.   How will you make an impact?   Lead or contribute to LiDAR system architecture, including requirements definition, subsystem interfaces, performance budgets, operating modes, and key technical trade-offs. Translate product and application requirements into measurable system specifications and engineering validation plans. Become a system-level expert on our LiDAR products and optimize their performance for automotive, robotics, industrial, infrastructure, and other applications. Perform system-level analysis covering detection range, point-cloud quality, accuracy, precision, resolution, field of view, reflectivity, crosstalk, interference, environmental robustness, thermal performance, and system reliability. Lead cross-functional technical investigations and root-cause analysis involving optics, electronics, firmware, software, algorithms, calibration, manufacturing, and mechanical design. Design and execute experiments, collect and analyze data, and validate LiDAR performance under a wide range of operating and environmental conditions. Experience developing application software, engineering tools, data-processing pipelines, visualization tools, or proof-of-concept applications using LiDAR data would be a significant plus. Experience developing and evaluating LiDAR integration solutions involving cameras, IMUs, GNSS, radar, computing platforms, or other sensors would be a significant plus.  Collaborate with product and field application teams to understand customer use cases, identify technical gaps, and influence product features and roadmap decisions. Support strategic customer engagements, technical demonstrations, workshops, and proof-of-concept projects when deep system-level expertise is required. Create clear technical documentation, including system requirements, architecture descriptions, interface specifications, test plans, analysis  reports, application notes, and integration guides.   What Qualifications and Skills Will Help You Succeed? Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, Optics, Robotics, or a related discipline with at least 8 years of relevant experience; a Master’s degree with at least 6 years of experience; or a PhD w
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