
Field Robotics Engineer - US at Gravis Robotics (Austin, TX)
Gravis Robotics· Austin, TX·
Role details
Job description
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.
About the Role
We're building out our US field team and looking for a hands-on Field Robotics Engineer to be part of it from the ground up. You'll own the end-to-end technical execution of customer deployments across the Americas, from initial site assessment through live operations, and work directly with R&D and Operations to continuously sharpen how we plan, test, and deliver.
This is not a desk job. You'll be on-site, getting systems to perform in real-world conditions, troubleshooting integrated robotic systems under pressure, and serving as the trusted technical face of Gravis to our customers. If you want to see your work move dirt, this is the role.
What you will do
- Lead the technical execution of customer deployment projects from start to handover
- Own end-to-end technical planning, coordination, and follow-up in close collaboration with Operations
- Serve as a trusted technical point of contact for customers throughout the deployment lifecycle
- Provide hands-on technical support and guidance to customers and end users
- Perform regular system testing to ensure reliability, robustness, and performance
- Generate performance reports and work with cross-functional teams to identify and resolve issues quickly
- Contribute to continuous improvement of deployment processes, tooling, and best practices
What we're looking for
- Bachelor's degree or higher (or equivalent experience) in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field
- Hands-on experience deploying, integrating, and debugging robotic software systems
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Experience with the ROS ecosystem
- Solid Linux proficiency and fluency with Git or similar version control
- Programming skills in C++ and Python
- Willingness to travel to customer sites, including domestically and internationally depending on project needs
- Valid US driver's license
- Must be authorized to work in the United States
Additional Beneficial Skills
- Hands-on mechanical or electronics experience (hardware assembly, basic soldering)
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Experience with communication protocols such as CAN
- Previous customer project or technical project management experience
- Practical experience repairing vehicles, machinery, bicycles, or electronics
- Experience operating or working with construction or agricultural machinery
Location & Travel This role is US-based with frequent travel to deployment sites across the Americas. You'll get real exposure to customer environments from day one.
Why work at Gravis Robotics
- Culture: Rated 4.6/5.0 on employer reviews (5 reviews) with strong scores in Work-Life Balance (4.3), Culture (4.5), and Career Growth (4.5). Described as a team of “great engineers, creative minds, and awesome people.”
- Work Policy: Hybrid and on-site roles depending on location: Zurich (mostly on-site/hybrid), Austin (on-site), Oxford (hybrid). Internships are on-site in Zurich.
- Engineering culture: Heavy emphasis on robotics, simulation, ML, and real‑world systems. Tech stack includes ROS, PyTorch, TensorFlow, Unreal Engine, SolidWorks, C++, Python, and more. Team includes alumni from ETH Zurich, NASA JPL, ANYbotics, and other top robotics groups.
- Perks: Work on physical AI that has a tangible impact on global infrastructure; see your code move dirt on real construction sites; small, fast‑moving team with direct access to founders.