LiDAR Test & Calibration Engineer

This role requires close collaboration with Manufacturing, Product engineering, Lidar Algorithms and Quality teams to achieve production yield, throughput, and quality goals.

What you'll be doing:

• Develop, validate, and maintain manufacturing test and calibration processes for LiDAR sensors.
• Work with suppliers to design and optimize automated production test stations, fixtures, and calibration equipment.
• Define production test sequences, acceptance criteria, and calibration algorithms.
• Analyze LiDAR performance metrics such as Range accuracy & precision, SNR, Signal intensity, Point cloud quality, Receiver sensitivity, etc.
• Perform root cause analysis of manufacturing failures and implement corrective actions.
• Improve first-pass yield (FPY), throughput, and overall equipment effectiveness (OEE).
• Develop Statistical Process Control (SPC) methods to monitor manufacturing quality.
• Create and maintain calibration procedures, work instructions, and manufacturing documentation.
• Support Engineering Validation Test (EVT), Design Validation Test (DVT), Production Validation Test (PVT), and Mass Production (MP) builds.
• Work closely with automation engineers to integrate test equipment with Manufacturing Execution Systems (MES).
• Analyze production data using Python, SQL, JMP or similar tools to identify trends and improve process capability.
• Troubleshoot optical, electrical, and mechanical issues affecting production yield.
• Support new product introduction (NPI) by transferring test and calibration processes from development to manufacturing.
• Provide on-site support when needed at contract manufacturer (CM), to bring and qualify the LiDAR test and calibration line, troubleshoot issues including conducting failure triage and root cause analysis.
• Assist product engineers and business development teams with RMA support by investigating returned units.

What you'll have:

• 1–3 years of experience (or equivalent academic project experience) developing test processes and infrastructure for optoelectronic products such as LiDAR, laser-based sensors, optical systems, cameras, or imaging systems.
• Strong programming abilities in Python
• Computer operating system and networking skills, including command-line tools and LAN troubleshooting.
• A strong foundation in physics and signal processing fundamentals to understand 4D LiDAR and how manufacturing variability impacts performance.
• Familiarity with statistical analysis and SPC techniques.
• Ability to travel internationally, up to 25% of the time

Nice-to-haves:

• Hands-on experience with electro-optical sensor systems.
• Knowledge of photonics, optics, and laser systems.
• Experience with robotic automation and industrial manufacturing equipment.
• Exposure to production testing environments for electro-optical sensor systems.
• Knowledge of software engineering processes, including version control, release engineering, test-driven development, and Agile methodologies.
• Familiarity with automotive LiDAR performance requirements.
• Bilingual with fluency in Spanish or Korean

What's in it for you:

• Be part of an early start-up that's backed by industry-leading venture capitalists
• Very competitive compensation and meaningful equity!
• Exceptional benefits: Medical, Dental, Vision, and more!
• 401k matching
• Unlimited PTO: We care about results, not punching timecards
• Paid lunches, ping pong tournaments, and fun team off-sites!