Robotics Planning Engineer
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Before you apply
Salary$119k – $161k
LocationSan Francisco, CA
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentMining - Engineering
EquityIncluded
Company size1,001–5,000 people
PostedJun 9, 2026 · 4mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
BS/MS/PhD in Robotics, Computer Science, or related field
2+ years of professional (non-internship) software development experience
Strong foundation in motion planning algorithms
Experience with computational geometry (collision detection, polygon operations)
Proficiency in Python and NumPy for numerical computing
Understanding of vehicle kinematics and nonholonomic constraints
Ability to analyze algorithm complexity and optimize for real-time performance
Experience with multi-agent coordination or scheduling algorithms
Familiarity with Dubins/Reeds-Shepp curves for non-holonomic planning
Background in trajectory optimization (DCBF, MPC-based planners)
Experience with graph algorithms (Dijkstra, heuristic search)
Knowledge of GEOS, Shapely or other computational geometry libraries
Experience with fleet management or dispatch systems
Familiarity with Redis, ZeroMQ, or similar infrastructure
Familiarity with modern ML techniques for planning problems
Periodic travel to customer sites (up to 5%)
Some schedule flexibility may be required during deployments
Skills
Python
NumPy
C++
Shapely
Numba
SciPy
Redis
ZeroMQ
Benefits
Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
Flexible spending account
Health savings account
401(k)
Equity
Sick time
Unlimited PTO
Paid holidays
Paid parental leave
Commuter benefit
Who we are
Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.
We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company.
What you’ll do
About the role
We’re looking for a Robotics Planning Engineer to develop the high-level autonomy systems that coordinate fleets of autonomous haul trucks in mining environments. You’ll work on path planning, multi-vehicle coordination, and dispatch systems that operate at the site level — deciding where trucks go, when they go, and how they interact with each other.
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Motion planning — A robust stack, from path planning to trajectory optimization, to generate smooth and safe trajectories for 200+ ton trucks to follow.
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Coordination planning — Systems to simultaneously coordinate the motion of multiple vehicles with intersecting trajectories to avoid collision and maximize throughput.
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Fleet planning — Algorithms that dynamically translate the site-wide state, like loading and dumping locations, to actively managed assignments for each truck.
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Design and implement motion planning algorithms for non-holonomic vehicles
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Develop multi-agent coordination systems that prevent deadlocks and collisions
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Build simulation and visualization tools for validating planning algorithms
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Optimize planning algorithms for real-time performance in production environments
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Collaborate with controls engineers to ensure planned paths are executable
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Debug fleet-level issues using logged data and replay tools
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Travel note: This role requires periodic travel to customer sites (up to 5%)
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Schedule note: Some schedule flexibility may be required during deployments
What we’re looking for
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BS/MS/PhD in Robotics, Computer Science, or related field required
•
2+ years of professional (non-internship) software development experience
•
Strong foundation in motion planning algorithms
•
Experience with computational geometry (collision detection, polygon operations)
•
Proficiency in Python and NumPy for numerical computing
•
Understanding of vehicle kinematics and nonholonomic constraints
•
Ability to analyze algorithm complexity and optimize for real-time performance
Preferred Qualifications
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Experience with multi-agent coordination or scheduling algorithms
•
Familiarity with Dubins/Reeds-Shepp curves for non-holonomic planning
•
Background in trajectory optimization (DCBF, MPC-based planners)
•
Experience with graph algorithms (Dijkstra, heuristic search)
•
Knowledge of GEOS, Shapely or other computational geometry libraries
•
Experience with fleet management or dispatch systems
•
Familiarity with Redis, ZeroMQ, or similar infrastructure
•
Familiarity with modern ML techniques for planning problems
Technical Environment
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Languages: Python (primary), C++ (performance-critical modules)
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Libraries: NumPy, Shapely, Numba, SciPy
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Testing: Simulation replay, config-driven scenario testing
Why join us
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Work on real, production-deployed autonomy.
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Build technology that directly improves safety, efficiency, and productivity.
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Tackle complex challenges in demanding, real-world environments.
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Be part of a fast-moving team with high ownership and impact.
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See your work deployed and making a difference in the field.
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Collaborate closely with experienced engineers and industry operators.
What else you need to know
This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $119,000 - $161,000 per year.
Legal
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Benefits
Base salary is just one part of your total rewards package. You may also be eligible for equity awards.
Benefits Summary (USA Full-Time Exempt Employees):
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Medical, Dental, Vision, Disability, and Life Insurance
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Flexible Spending Account / Health Savings Account Options
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401(k)
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Equity
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Sick Time, Unlimited Flexible Time Off, and Paid Holidays
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Paid Parental Leave
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Pre-Tax Commuter Benefit Plan
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Team lunch in our SoMa office every Tuesday and Thursday
Benefits are subject to change at the company’s discretion.
Pronto accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?