WeRide.ai
Perception Engineer – ML/CV and Algorithms
San Jose, CA
Sponsorship not specified$130k-$182kDetected 2272 days ago
AlgorithmsMachine LearningComputer VisionSensorsResearch
About the role
- WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world.
- WeRide has operated a self-driving fleet for more than 2,200 days.
- For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped.
Responsibilities
- Research and develop efficient, end-to-end ML solutions for Perception with sensor fusion, including but not limited:
- Develop efficient and robust onboard system
- Develop efficient offboard "loop" to allow fast iteration on long-tail scenarios
- Research and develop efficient, end-to-end
- WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4.
Compensation
- Your base pay is one part of your total compensation package.
- For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped.
- Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills.
- In the event that you are considered for a different level, a higher or lower pay range would apply.
- This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
- WeRide.ai offers competitive salary depending on the experience.
Benefits
- WeRide.ai Silicon Valley team is looking for Perception engineer to implement the next generation automotive vision and machine learning algorithms.
- 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
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This listing is sourced directly from WeRide.ai's careers page and normalized into a canonical job model.