Gravis Robotics is a startup that turns heavy construction machines into autonomous robots. 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. Our team has over a decade of experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a trillion dollar industry.
About the JobThe autonomy team at Gravis builds autonomous systems for excavators operating in real construction environments. This role is at the intersection of system engineering, integration, field deployments, and debugging.
We are looking for an engineer with a degree in Electrical Engineering, Mechanical Engineering, or Robotics or relevant fields and at least 2 years of practical, hands-on experience working with real systems - and if they fail, you can help us figure out why. This is not an entry-level or new-graduate role.
You will help define and execute system-level test scenarios, support atypical and beta deployments, and act as a technical bridge between the field and the engineering team. You will help train our field engineers and keep them in touch with fast evolving autonomy capabilities.Your responsibilities
Validate system behavior across machines, environments, and operating conditions
Identify edge cases, failure modes, and operational limits
Collaborate with engineering teams on making technical decisions on a system level
Investigate system failure during field testing or deployments
Apply hotfixes when appropriate
Support or conduct deployments if needed, especially pilots or beta customers
Support/conduct atypical deployments, pilots, and beta customers
Capture lessons learned from deployments and feed them back into system testing and design
Help prioritize fixes and improvements based on real-world impact
Required qualifications
Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field
2+ years of hands-on experience working with complex systems (automation, robotics, vehicles, heavy machinery, industrial equipment, or similar)
Strong system-level troubleshooting and debugging skills
C++ and Python programming skills, proficiency in git systems
Proficiency in Linux systems
Comfortable working in field environments (construction sites, test yards, deployments)
Ability to travel abroad, according to needs of the business
Driver’s license B category
Beneficial
Experience with excavators, heavy equipment, or off-road vehicles
Field testing experience
Familiarity with communication technologies such as DDS, Zenoh, LCM etc.
Experience in motion planing or control
Experience in robotic competitions
Skills Required
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, or closely related field
- 2+ years of hands-on experience working with complex systems
- Strong system-level troubleshooting and debugging skills
- C++ and Python programming skills, proficiency in git
- Proficiency in Linux systems
- Comfortable working in field environments
- Ability to travel abroad
- Driver's license B category
What We Do
Developing autonomy for heavy machinery to automate an industry with a slowly rising productivity and a global labour shortage
