Robotics Software Engineer

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 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.

We are seeking a Robotics Software Engineer to join our Autonomy team, the group responsible for the planning and control that drives our machines in the field. You will design, build, test and deploy the software that turns intent into reliable motion on real excavators—working end-to-end from prototype to production deployment.

We are looking for a collaborative, hands‑on software engineer who has worked with real robots and is excited to keep doing so. You do not need to be a domain expert in any single robotics field: we value engineers who can ramp up quickly across problems and domains, write excellent software, and make autonomy work on real hardware.

• Design, prototype, and deploy planning and control software that runs on autonomous heavy machines in real‑world construction environments.
• Take features from concept through field deployment, debugging and robustifying them on real robots together with the wider Autonomy and Field teams.
• Establish and optimize testing procedures, simulation tooling, and performance metrics to ensure robust and reliable system behavior.
• Collaborate closely with multidisciplinary experts across perception, controls, platform, and operations to improve the reliability and performance of the entire system.

• Bachelor's in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering or a related field.
• Solid software engineering skills, with at least 2 years of professional experience writing production‑quality C++ or Python in a Linux development environment, and with proficiency in both languages.
• Demonstrated experience developing, integrating, and debugging software on real robotic systems (not only in simulation).
• A track record of taking ownership of problems and shipping robust solutions in a fast‑paced environment.
• Excellent communication skills with the ability to effectively convey technical concepts to both technical and non‑technical stakeholders.
• Experience in one or more of: control, motion planning, task planning, machine learning, or reinforcement learning.
• Experience with ROS2 or other middle wares.
• Experience deploying software on autonomous vehicles or mobile robots in the field.
• Contributed in the past to CI/CD pipelines.
• Experience with feature‑flagged deployments, staged rollouts, long‑lived platforms, or maintaining backwards compatibility of different components.
• Familiarity with or interest in utilizing AI coding tools.

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:

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 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.