Added
19 days ago
Location
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Full time
Salary
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python pandas numpy lidar ros📋 Description
- Lead development of radar or lidar sensing systems from concept to launch.
- Define sensor performance targets, eval criteria, and validation plans.
- Drive sensor benchmarking and down-selection across suppliers.
- Lead supplier engagement, including reviews and design maturity.
- Collaborate cross-functionally to meet vehicle ODD and perception needs.
- Ensure sensor architectures are robust, manufacturable, and cost-aware.
🎯 Requirements
- Bachelor’s degree in EE/CS/Robotics or related; 7+ years’ relevant exp.
- 8+ years automotive sensing with hands-on radar or lidar and leadership.
- Strong first-principles understanding of radar or lidar sensing.
- Proficient in Python with NumPy, Pandas, and Jupyter.
- Experience with Wireshark, CAN tools, ROS/rosbag, automotive Ethernet.
- Ability to analyze logs and test data for sensor performance and credibility.
🎁 Benefits
- Competitive compensation packages.
- Medical, dental, and vision insurance.
- Employer-matched 401(k) with immediate vesting.
- Paid parental leave and paid medical leave.
- Unlimited vacation and 15 paid holidays.
🛃 Visa sponsorship
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