Gravis Robotics is a high-growth ETH Zurich spin-off 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. 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.
At Gravis, we build high tech systems that give machine operators super human capabilities. To adapt in real time to changes in the environment the Gravis Rack fuses data from LiDAR, cameras, GNSS, and hydraulics into an autonomous control system. As our engineering team grows we need world-class infrastructure to support the full development lifecycle of these systems: from developer tooling to continuous integration, testing, and deployment at scale.
As a senior engineer focused on infrastructure, you will drive the requirements gathering, development, rollout, and operation of that infrastructure. The systems you build and operate power every line of code, commit, and production deployment at Gravis. You will work at the intersection of our Platform, Autonomy, Perception, and Interface teams to enable high velocity and high quality developer workflows, while ensuring the continuous, safe deployment of software to a fleet of 20-ton robots all across the world.
Shape our build, deployment, and CI/CD roadmaps to get software into the field faster and more safely
Own the image building and release process for our embedded Linux systems, including secure over the air updates and safe rollback to the fleet
Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments
Collaborate closely with Autonomy and Perception engineers to understand requirements and translate them into reliable, scalable development environments for maximum development efficiency and velocity
Set standards for how software is built and shipped at Gravis
Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or a related field
7+ years of hands on experience in software engineering, platform engineering, or DevOps, including ownership of systems used daily by other engineers
Strong Software Engineering skills and solid experience with related tooling
Experience with enterprise build and deployment systems, and with image building infrastructure for embedded Linux systems
Proven experience building and managing CI pipelines for build, test, and ML workloads
Direct experience with IoT device management, telemetry, and secure over the air (OTA) update mechanisms
Proven experience with infrastructure as code and software provisioning (e.g. Ansible, Terraform)
Familiarity with modern DevOps and CI/CD practices tailored for embedded deployments
Don't meet every requirement? We still want to hear from you. These are nice-to-haves, not dealbreakers:
Don't meet every requirement? If you're enthusiastic about this role but your experience doesn't match every qualification listed, we still encourage you to apply. You might be the right person for this or another role on our team.
This is an opportunity to join a dynamic, multidisciplinary team — and to be part of a young startup that is reshaping heavy construction.
We understand that work-life balance and flexibility are important considerations for many professionals. If you are a strong match, 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 on race, colour, 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 working to solve problems with global impact. To facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.
We may use AI tools to support parts of the hiring process, such as reviewing applications and analysing resumes. These tools assist our recruitment team but do not replace human judgment — final decisions are always made by people. For questions about how your data is processed, please contact us.
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.
