11 часов назад
Robotics Planning Engineer (Autonomous Vehicles)
119 000 - 161 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Planning Engineer (Autonomous Vehicles): Developing high-level autonomy systems for autonomous haul trucks, including motion, coordination, and fleet planning, with an accent on safe trajectory generation, multi-vehicle coordination, and real-time performance. Focus on designing non-holonomic motion planning algorithms, building simulation and replay tools, and optimizing production planning systems for complex mining environments.
Location: San Francisco, California, USA; onsite five days a week. Periodic travel to customer sites of up to 5% may be required, with some schedule flexibility during deployments.
Base salary: $119,000–$161,000 per year, with potential eligibility for equity awards.
Company
develops production-ready autonomous vehicle technology and Autonomous Haulage Systems for mining, quarry, and construction operations.
What you will do
- Develop high-level autonomy systems that coordinate fleets of autonomous haul trucks at the site level.
- Design motion planning algorithms, from path planning through trajectory optimization, for large non-holonomic vehicles.
- Build multi-agent coordination and fleet planning systems that prevent collisions and deadlocks while improving throughput.
- Create simulation, visualization, configuration-driven testing, replay, and logged-data debugging tools.
- Optimize planning algorithms for real-time production performance and collaborate with controls engineers to ensure paths are executable.
Requirements
- BS, MS, or PhD in Robotics, Computer Science, or a related field.
- At least 2 years of professional software development experience, excluding internships.
- Strong foundation in motion planning algorithms, vehicle kinematics, and nonholonomic constraints.
- Experience with computational geometry, including collision detection and polygon operations.
- Proficiency in Python and NumPy for numerical computing.
- Ability to analyze algorithmic complexity and optimize systems for real-time performance.
Nice to have
- Experience with multi-agent coordination, scheduling, fleet management, or dispatch systems.
- Familiarity with Dubins and Reeds-Shepp curves, trajectory optimization, DCBF, or MPC-based planners.
- Knowledge of graph algorithms, GEOS, Shapely, Redis, ZeroMQ, or modern ML techniques for planning.
Culture & Benefits
- Work on real, production-deployed autonomy technology in demanding environments.
- Collaborate with experienced engineers, controls specialists, and industry operators.
- Medical, dental, vision, disability, and life insurance for USA full-time exempt employees.
- Flexible Spending Account or Health Savings Account options, 401(k), equity, and commuter benefits.
- Sick time, unlimited flexible time off, paid holidays, and paid parental leave.
- Team lunch at the SoMa office every Tuesday and Thursday.
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