26 days ago
San Jose, CA, USAEntry Level
Base Salary
$120k - $165k/yr
Responsibilities
- Design prediction models for vehicles, pedestrians, and other dynamic agents.
- Develop mapping, localization, motion-planning, decision-making, and vehicle-control algorithms.
- Build simulation platforms with sensor modeling, AI simulation, and 3D environment reconstruction.
- Collaborate across perception, prediction, planning, control, mapping, localization, and simulation teams.
Requirements
- MS or PhD in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation, or a related field, or equivalent practical experience.
- Expected graduation date between December 2026 and June 2027.
- Proficiency in C++ and/or Python, including knowledge of current language features.
- Strong analytical and problem-solving skills.
- Excellent communication and cross-functional collaboration abilities.
- Passion for innovation in the autonomous vehicle industry.
- Preferred: research published or presented at leading machine learning or robotics conferences.
- Preferred: proficiency with TensorFlow or PyTorch.
- Preferred: experience in open-source competitions or challenges related to autonomous driving.
Benefits
- Competitive salary depending on experience.
- Premium medical, dental, and vision plans at no cost to employees or their families.
- Free daily breakfast, lunch, and dinner.
- Paid vacations and holidays.
- 401(k) plan.
