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11 часов назад

Robotics Planning Engineer (Autonomous Vehicles)

119 000 - 161 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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