Perception Engineer – ML/CV and Algorithms
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-09-12
Listing for:
SupportFinity™
Full Time
position Listed on 2026-09-12
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Perception Engineer – ML/CV and Algorithms
WeRide.ai Silicon Valley team seeks a Perception Engineer to implement the next generation automotive vision and machine learning algorithms.
What you will do- Research and develop efficient, end-to-end ML solutions for Perception with sensor fusion, including but not limited to:
- Obstacle detection and understanding (e.g., obstacles’ 3D location, motion properties, and fine-grained attributes)
- Understanding of the drivable space and 3D occupancy
- Map sensing (e.g., lane boundary and topology)
- Scene understanding (traffic light, short/long‑term intent of vehicles, construction zone, etc.)
- Develop efficient and robust onboard system
- Develop efficient offboard loop to allow fast iteration on long‑tail scenarios
- Strong abilities in both algorithms and C++ coding; or strong expertise in at least one of these fields: computer vision, machine learning, and model optimization
- Solid skills in problem solving, algorithms, and data analysis
- Good communication and coordination skills
- Self‑motivated and believe in the future of self‑driving cars
- Rich experience in C++ development, multithreading, memory management, computing optimization
- Rich experience in multi‑sensor fusion and 3d/2d tracking
- Publications on top‑tier conferences and journals
Competitive salary between $130,000 - $182,000, with annual performance bonus, equity, and a competitive benefits package.
- Premium Medical, Dental and Vision Plan (no cost from employees or their families)
- Free Daily Breakfast, Lunch and Dinner
- Paid vacations and holidays
- 401K plan
We may use AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
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