Example Company
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.
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Lead Operator
- Type
- Full time
- Posted
- 4H AGO
About the role
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
We're looking for an experienced equipment operator to lead the crew that runs our machines on customer job sites. You'll set crew assignments, maintain safety, train new operators, and step into the cab when the job calls for it. Just as important, you'll put our technology through its paces in real-world conditions and help shape how it evolves.
You'll be the operator's voice to our engineers, making sure what you learn in the field reaches R&D.
What you will do
-
Lead the operator crew: shift assignments, briefings and relief
-
Oversee daily machine operations on site
-
Maintain safety during autonomous operations
-
Operate excavators as needed
-
Train and certify new operators and customer crews
-
Evaluate system performance in real-world conditions
-
Recommend improvements to our engineering team
-
Collect operator feedback and share it with R&D
-
Support field testing
-
Log production and issues each shift
What we're looking for
-
5+ years operating excavators on commercial, civil, mining or earthwork projects
-
1+ years leading, training or mentoring operators
-
Comfort learning new technology
-
Strong safety record and working knowledge of OSHA
-
Clear communication with crews, customers and engineers
-
Valid US driver's license
-
Ability to pass a pre-employment drug screen
Additional Beneficial Skills
-
GPS machine control
-
Remote-operated or automated equipment experience
-
Experience supporting equipment testing
Location & Travel
Based in the Taylor, TX area and working on site at customer projects, 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.
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