The posting
Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots.
Gravis began as an ETH Zurich spin-out, and our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment.
Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry.
The Gravis RACK is a machine-agnostic retrofit kit that adds autonomy to excavators and wheel loaders from 10 to 100+ tonnes: LiDAR and camera sensing, GNSS RTK, networking hardware and rugged edge compute that works offline. Paired with the Slate tablet and our Copilot software, it lets an operator run a machine manually, with AI assistance, or fully autonomously.
About the Role
- Plan and direct daily autonomous operations with the customer's site team
- Lead Gravis operators and technicians on site
- Work with the Safety Manager to follow site safety plans
- Confirm site readiness before autonomous work begins
- Coordinate with customer crews and other contractors
- Track and report production, downtime and issues
- Manage project schedules, budgets and change orders
- Coordinate subcontractors and support project invoicing
- Report schedule, cost and risk to customers and leadership
- Write site operating procedures
- Feed field insights back to R&D
- 5+ years running heavy civil, earthwork, mining or industrial operations as a superintendent, foreman or operations manager
- Experience directing equipment operators and field crews, and managing schedules, budgets and subcontractors
- Ability to read construction drawings, site plans, survey data and grading plans
- Working knowledge of OSHA
- Experience training people and writing procedures
- Clear communication with customers, crews and engineers
- Comfort with software and new technology
- Valid US driver's license
- Experience with autonomy, robotics or machine control
- Experience launching a new site or program
- Experience working with an international engineering team



