E2E PnC ExpertXC

Job Description for EndtoEnd PnC Expert:

1. Design and implement endtoend decision planning algorithms for L2 autonomous driving systems ensuring robust performance and safety in mass production.
2. Collaborate closely with crossfunctional teams to integrate decision planning algorithms seamlessly into the overall autonomous driving system architecture.
3. Analyze and address realworld challenges for L2 autonomy such as dynamic road conditions complex traffic scenarios and environmental diversity all without relying on HD maps.
4. Continuously optimize and enhance decision planning algorithms to improve system efficiency adaptability and reliability from simulation to realworld deployment.
5. Participate in project planning setting milestones and tracking progress to ensure the timely delivery of autonomous driving features for mass production.
6. Stay updated on the latest advancements in autonomous driving technology and incorporate new insights and techniques into PnC algorithms to maintain cuttingedge performance.

Qualifications :

A good candidate is prefer to:

• • Masters degree or above in computer science electronic engineering mathematics or related fields.
  • Deep understanding and practical experience in PnC algorithms for autonomous driving systems with experience at convex optimization MPC/iLQR/DDP.
  • Deep understanding and practical experience for seaching / sampling /  Optimization algorithm for path generation.
  • Familiarity with AI Planner and experienced in safety check for model based planner output.
  • Proficiency in programming languages such as C Python etc. with strong coding skills for algorithm development and implementation.
  • Excellent problemsolving skills and the ability to analyze complex technical issues related to autonomous driving.

Strong communication skills and a collaborative mindset with the ability to work effectively in crossfunctional teams

Remote Work :

No

Employment Type :

Fulltime