Perception Engineer – ML/CV and Algorithms
Indexed description
WeRide.ai Silicon Valley team is looking for 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:
- 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 (e.g 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
- Have strong abilities in both algorithms and C++ coding; or have 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
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
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 artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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