Senior Robotics Planning Engineer

Company: Atoms
Location: San Francisco CA (SoMa office 5 days per week)
Compensation: $176000 - $240000 equity bonus
Employment Type: Full-time
Visa Sponsorship: Visa transfers and new sponsorship (H-1B TN)

Atoms is building the machines that power the next era of progress. Founded by Travis Kalanick after Uber it consolidates eight years of technology development to bring Physical AI to industries that move civilization forward across Atoms Food (formerly CloudKitchens) Atoms Mining (formerly Pronto AI with 100 autonomous haul trucks in live operation hauling millions of tons) and Atoms Transport.

Atoms takes a modular OEM-agnostic approach integrating autonomy into existing vehicles and equipment and has raised $1.25B.

Atoms Mining (formerly Pronto AI) is hiring a Senior Robotics Planning Engineer (5 years) to build the high-level autonomy systems that coordinate fleets of 200 ton autonomous haul trucks at mines in the US Scotland Saudi Arabia and Brazil. You will make sure trucks navigate smoothly without unnecessary stops and design the path planning and multi-vehicle coordination that directly drive site productivity and safety. You will be one of the first members of a growing planning team touching motion coordination and fleet planning from the ground up on real deployed systems rather than simulations.

• Develop trajectory and path planning for 200 ton autonomous haul trucks minimizing stops caused by unplanned obstacles.
• Design intersection management that computes optimal truck sequences to minimize total wait time.
• Build coordination planning that manages multiple vehicles with intersecting trajectories preventing deadlocks and collisions.
• Create fleet planning algorithms that turn site-wide state (loading and dumping locations) into managed assignments for each truck.
• Validate planning concepts with controls and systems engineers during live deployments.

• 5-10 years in robotics motion planning engineering using Python and C
• Built path planning or trajectory optimization for robots or autonomous vehicles that runs in production
• Strong motion planning fundamentals (including non-holonomic planning)
• Proficiency in Python and NumPy for numerical computing
• BS/MS/PhD in robotics computer science or a related field
• Comfort with ambiguity and building processes from scratch; schedule flexibility during deployments
• Ability to work on-site in San Francisco 5 days a week (relocation OK)

• Multi-agent coordination or fleet planning systems
• Experience at robotics/AV companies (e.g. Waymo Aurora Zoox Nuro)
• Masters or PhD in robotics or motion planning
• Computational geometry (Shapely collision detection)

Recruiter screen (30 min) hiring manager screen (30 min) technical screen (1 hour) onsite (1 hour) final interview (30 min).

Python NumPy C Shapely Numba SciPy Redis ZeroMQ Linux

REVENUE: 14% of first-year salary. Est. fee per hire $25K-$34K; 3 seat(s) up to $87K if all filled.

TARGET COMPANIES (client (Hexagon/Caterpillar/Komatsu named) suggested): Hexagon Caterpillar Komatsu Aurora Kodiak Built Robotics.

BEST-FIT CANDIDATE: 5-10 yrs; production path planning/trajectory optimization; multi-agent coordination; Python C; visa: transfers new H-1B/TN; location: SF 5 days. Planning must be front and center (not perception); needs real deployment examples; avoid mostly-academic careers.