Job Description
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond.
Key Responsibilities
- 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.
Requirements
- 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
Benefits & Perks
- 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!
Ready to Apply?
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