Vehicle Sensor Technician
Santa Clara, CA (Onsite 5 days/week)
Contract (W2) | $95–$100/hr | Full Benefits + PTO
Sustainable Talent is partnering with NVIDIA, a global leader in accelerated computing, graphics, and AI technologies, to hire a Sensor Systems Technician to support their Sensor Systems Engineering team in Santa Clara.
This role supports the development and validation of sensor hardware components used in Nvidia Autonomous Vehicles.
The team focuses on testing and validating Vehicle sensor performance at the component level before and during integration into vehicle platforms. Work is primarily conducted in lab environments, with occasional vehicle-based validation.
The team works with a range of sensors including cameras, radar, lidar, ultrasonic sensors, and IMUs, with camera sensors being a key focus area.
What You'll Do
- Build, operate, and maintain sensor hardware test setups for validating sensor performance
- Perform component-level testing and debugging of sensors including cameras, lidar, radar, ultrasonic sensors, and IMUs
- Develop repeatable lab-based validation processes to measure sensor accuracy, calibration, and reliability
- Capture and analyze test data to evaluate sensor performance and system behavior
- Write or modify Python scripts/tools to improve testing workflows and automation
- Work in Linux and Windows environments to run tests, troubleshoot issues, and manage sensor data
- Document test configurations, results, and findings to ensure reproducibility and traceability
- Maintain organized lab environments, testing equipment, and sensor hardware inventory
- Collaborate closely with hardware, software, and systems engineers to debug and improve sensor performance
What We're Looking For
- Bachelor’s degree in Engineering, Physics, Robotics, or related field, or equivalent hands-on experience
- Hands-on experience testing or debugging AV sensor hardware
- Experience working with one or more sensors such as:
- Camera sensors (strongly preferred)
- LiDAR
- Radar
- Ultrasonic sensors
- IMU
- Experience writing Python scripts for testing, automation, or data analysis
- Familiarity with Linux and Windows operating systems in technical environments
- Strong troubleshooting, documentation, and data analysis skills
- Highly hands-on, proactive, and curious, with interest in lab-based engineering work
Nice to Have
- Experience with camera or imaging sensors
- Background in robotics or autonomous systems
Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.