10 часов назад
Senior/ Staff Software Engineer, Motion Planning (Autonomous Vehicles)
180 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/ Staff Software Engineer, Motion Planning (Autonomous Vehicles) (C++/robotics): Building and optimizing motion planning and decision-making systems for Level 4 autonomous vehicles with an accent on dynamically feasible, collision-free trajectories and real-time safety. Focus on developing lattice-, sampling-, and optimization-based planners, integrating perception and control constraints, and resolving failure cases in traffic interactions, occlusions, and dynamic obstacles.
Location: Onsite 5 days a week at the Santa Clara, California office
Salary: $180,000–$260,000 per year
Company
develops Level 4 autonomous transportation technology for short-haul, B2B middle-mile logistics, integrating software and hardware for commercial autonomous truck operations.
What you will do
- Design, implement, and optimize the motion planning stack for autonomous vehicles.
- Develop lattice-based, sampling-based, and optimization-based planners for dynamically feasible, collision-free trajectories.
- Integrate perception, prediction, and control constraints into context-aware motion plans under uncertainty.
- Collaborate with behavior planning, control, and mapping teams to improve planning consistency.
- Optimize and maintain C++ infrastructure for real-time onboard trajectory generation, evaluation, and deployment.
- Analyze simulation and on-road performance, resolving failures involving traffic interactions, occlusions, and dynamic obstacles.
Requirements
- Ph.D. with 3+ years or Master’s with 5+ years of experience in robotics, motion planning, or autonomous systems.
- Deep expertise in at least two of lattice-based planning, trajectory optimization, model predictive control, or search-based planning.
- Strong proficiency in C++ and experience writing production-quality code for real-time or safety-critical systems.
- Understanding of vehicle dynamics, control interfaces, and motion feasibility constraints.
- Experience with simulation tools and debugging motion planner behavior in realistic driving environments.
- Strong analytical, system-level debugging, communication, and cross-functional collaboration skills.
Nice to have
- Knowledge of diffusion models or Vision-Language-Action models.
Culture & Benefits
- Work on autonomous transportation technology deployed in commercial logistics operations.
- Collaborative, respectful, and agile working culture.
- Commitment to diversity, inclusion, and equal opportunity.
- Opportunity to contribute to supply-chain resilience and sustainability.
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