What we’re looking for
We recognize that excellent candidates come from diverse backgrounds with various combinations of skills. If you meet most of the core qualifications below, we highly encourage you to apply.
Core qualifications
- 2–5 years industry experience developing Reinforcement learning systems for control and/or planning and deploying them on real robots with a customer. If you only have experience with simulation, you’re most likely not a good fit for this position.
- Experience with GPU accelerated simulation environments (e.g. IsaacSim/IsaacLab, CARLA, MuJoCo)
- Strong Python skills and experience with PyTorch or similar libraries
- Proficiency in C++
- Comfortable debugging real-world system behavior
- Ability and willingness to travel as required by business projects.
Great-to-Have Skills & Experience
- Experience with hydraulic machinery
- Experience with supervised learning or imitation learning
- Research experience in reinforcement learning
- Experience deploying robotic systems at scale (e.g. hundreds of units)
- Familiarity with ROS or similar robotics frameworks
- Experience with feature-flagged deployments, staged rollouts, or long-lived platforms
- Experience with data curation for ML applications
- Experience guiding, mentoring, or leading junior colleagues, students, or project teams.
- Familiarity with or interest in utilizing AI coding tools.
This Role is a Great Fit If
- You are passionate about building systems that work reliably in the real world
- You want to help build a long-lived excavation planning and control system intended to scale and positively impact the entire construction industry.
- You are comfortable working with the realities of imperfect data and noisy measurements.
- You have a keen interest in bridging the sim2real gap and understanding the differences between simulation and physical environments.
- You are excited to help drive technical direction in a growing team transitioning from prototyping to the product stage.
- You value a collaborative team culture rooted in thoughtful design, creative thinking, mutual respect, and pragmatism.
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.
Gravis Robotics offers a fair market salary and a working location in the vibrant city of Zurich. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals:
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.