Sustainable Talent→
Vehicle Hardware Engineer at Sustainable Talent in Santa Clara, CA
Entry LevelOn-siteFull-timeSanta Clara, CA$198k–$208k/yr
Skills
sensor hardware testingpython scriptinglinux operating systemcamera sensorsdata analysistroubleshootingcollaboration skills
Job Description
Summary: Sustainable Talent is partnering with NVIDIA, a global leader in accelerated computing, graphics, and AI technologies, to hire a Vehicle Hardware Engineer to support their Sensor Systems Engineering team. This role focuses on the development and validation of sensor hardware components used in NVIDIA Autonomous Vehicles, involving testing and validating vehicle sensor performance at the component level.
Responsibilities:
- 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
Required Qualifications:
- 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, 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
Preferred Qualifications:
- Camera sensors (strongly preferred)
- Experience with camera or imaging sensors
- Background in robotics or autonomous systems
Required Skills: Sensor hardware testing, Python scripting, Linux operating system
Important Skills: Camera sensors, Data analysis, Troubleshooting
Nice-to-Have Skills: Collaboration skills
Benefits: Full Benefits, PTO
Benefits
Full Benefits
PTO