
Lead Perception Engineer
Hybrid
Aging
Full-time
Senior
Perception
Compensation
Salary undisclosedDescription
Gravis Robotics is a startup that turns heavy construction machines into intelligent and 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 academic experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a trillion dollar industry through active deployments with market leaders.
About the Job
At Gravis, we engineer solutions at the nexus of hardware and software every day: bringing new perception and control technologies onto awesome, autonomous machines. Our Rooftop Autonomous Control Kit (Rack) combines sensors, compute, communication and networking modules toward a manufacturer-agnostic solution that can be applied to a variety of construction machines regardless of type and age. We are seeking a highly skilled and experienced lead for our perception team: you will spearhead the perception development process, from design and prototyping to deployment of state-of-the-art object detection, scene segmentation, mapping, state estimation and calibration algorithms—while ensuring production quality implementation and timely execution.
What you'll do
What you'll bring
Additional beneficial skills
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 will revolutionize heavy construction. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals: If you are a highly qualified candidate with the requisite skills and experience, we encourage you to apply and discuss your preferred working arrangement during the interview process.
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 are an international team that is working to solve problems with a global impact: to facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.
Stack
PythonC++PyTorchMachine LearningDeep LearningRoboticsTensorFlow
- Posted
- Aug 12, 2026
- Last seen
- Aug 12, 2026
- First seen
- Aug 12, 2026


