Senior Robotics Planning Engineer

Loud Solutions; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Loud Solutions is seeking a Senior Robotics Planning Engineer in San Francisco (5 days on-site) to lead high-level autonomy for 200+ ton autonomous haul trucks in mining environments. You will shape motion, coordination, and fleet planning from the ground up, collaborating with controls and systems engineers during live deployments.

Requirements include 5+ years in robotics/motion planning or autonomous systems, strong Python and C++, and experience with NumPy/SciPy/Shapely/Numba; Linux

Qualifications

• 5+ years of experience in robotics planning, motion planning, or autonomous vehicle systems.
• Strong Python and C++ programming skills.
• Experience with NumPy, SciPy, Shapely, or Numba.
• Comfort working on production systems deployed on physical hardware.
• Linux-based systems experience.

Responsibilities

• Develop trajectory planning and path planning systems for 200+ ton autonomous haul trucks, ensuring smooth navigation and minimizing unnecessary stops.
• Design intersection management systems to minimize total wait time across multi-vehicle operations.
• Build coordination planning systems to manage multiple vehicles with intersecting trajectories, preventing deadlocks and collisions.
• Create fleet planning algorithms that translate site-wide state into active assignments for each truck.
• Collaborate with controls and systems engineers to validate planning concepts during live deployments; some testing schedule flexibility.

Skills

Robotics planning

Motion planning

Autonomous vehicle systems

Python

C++

Linux

Tools

NumPy

SciPy

Shapely

Numba

Job description

On behalf of our client, a global leader in commercializing autonomous vehicle technology, we're hiring a Senior Robotics Planning Engineer. Our client's Autonomous Haulage Systems are production-deployed across mines in the US, Scotland, Saudi Arabia, and Brazil.

We're looking for a Senior Robotics Planning Engineer with 5+ years of experience to develop the high-level autonomy systems that coordinate fleets of autonomous haul trucks in mining environments. This is a critical role, responsible for ensuring trucks navigate smoothly without unnecessary stops, and for designing path planning and multi-vehicle coordination systems that directly impact site productivity and safety. You'll be one of the early members of a growing planning team, with the opportunity to shape motion planning, coordination planning, and fleet planning from the ground up.

What You'll Do

• Develop trajectory planning and path planning systems for 200+ ton autonomous haul trucks, ensuring smooth navigation and minimizing unnecessary stops caused by unplanned obstacles
• Design intersection management systems that compute optimal truck sequences to minimize total wait time across multi-vehicle operations
• Build coordination planning systems to simultaneously manage the motion of multiple vehicles with intersecting trajectories, preventing deadlocks and collisions
• Create fleet planning algorithms that dynamically translate site-wide state into actively managed assignments for each truck
• Collaborate with controls and systems engineers to validate planning concepts during live deployments, with some schedule flexibility required during testing phases

What We're Looking For

• 5+ years of experience in robotics planning, motion planning, or autonomous vehicle systems
• Strong Python and C++ programming skills
• Experience with tools like NumPy, SciPy, Shapely, or Numba
• Comfort working on production systems deployed on physical hardware
• Linux-based systems experience
• Location: San Francisco, CA (5 days on-site, SoMa)
• Full-time
• Open to visa transfers (OPT, H1B transfers) and new sponsorships (H1B, TN)