Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
Find roles through people you trust, and message a verified founder or page admin about your interest.
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.
We're looking for a Field Robotics Technician to keep our autonomous machines running. You'll install our retrofit kits on excavators, calibrate sensors, track down hardware faults and make sure every machine is ready when the shift starts. When a machine goes down, you're first on the scene.
This role is for someone as comfortable with a multimeter and a laptop as with a wrench and a 40-ton machine. This is not a desk job.
Install retrofit kits: sensors, compute, wiring harnesses, antennas and mounts
Run pre-shift inspections
Diagnose and repair connectors, cables, power and sensor faults
Manage spare parts and swap failed components
Pull logs and data for engineering
Support engineers during new machine bring-up
Keep accurate maintenance records for every machine
Maintain installation, maintenance and troubleshooting documentation
Help train dealer technicians on installing and servicing Gravis systems
2+ years as a field service, electronics, robotics, automation or heavy equipment technician
Ability to read wiring diagrams and use a multimeter
Experience installing or maintaining electronics on vehicles or machinery
Basic computer and networking skills, or eagerness to learn
Strong safety habits around heavy equipment
Ability to lift 50 lb and work outdoors in all conditions
CAN bus or hydraulics experience
Valid US driver's license
Associate degree or certificate in electronics, mechatronics or diesel technology
GNSS RTK, machine control or LiDAR experience
Linux command line basics
Based in the Taylor, TX area and working on site at customer projects in Texas, with travel to other job sites as projects require.
Don't meet every requirement? If you're enthusiastic about this role but your experience doesn't match every qualification, we still encourage you to apply. You might be the perfect candidate for this or other positions.
This is an opportunity to join a dynamic and versatile team and to be part of a young startup that is revolutionizing heavy construction. Gravis Robotics offers a competitive salary and the opportunity to work on problems with real global impact.
Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics. We comply with all applicable federal, state, and local employment laws.
We are an international team working to solve problems with global impact. Proficiency in English is a requirement for all roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.