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 our software engineer with focus on infrastructure, you will be driving the requirements gathering, development, rollout and operation of the related 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 quality of developer workflows. At the same time, you ensure the continuous deployment of software to a fleet of 20‑ton robots all across the world.
Responsibilities
Design, build and operate end‑to‑end CI pipelines covering software builds, testing, linting, static analysis, versioning, releases, and deployment ranging from edge devices in the field to cloud infrastructure
Own Configuration Management and infrastructure provisioning across the software department
Collaborate closely with Autonomy and Perception engineers to understand requirements and translate them into reliable, scalable development environments for maximum development efficiency and velocity
Own, operate and enhance in‑office Hardware‑in‑the‑loop test setups
Own, operate and enhance fleet monitoring systems
Closely collaborate with ML Ops Engineers and Simulation Engineers on shared infrastructure
Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or a related field
3+ years of hands‑on experience in Software Engineering, DevOps, data engineering, or similar roles
Strong Software Engineering skills and solid experience with related tooling (e.g., clangd, cargo, pyrefly)
Proven experience building and managing CI pipelines for build, test and ML workloads (e.g., GitHub Actions or GitLab CI)
Proven experience with infrastructure as code (e.g., ansible, terraform)
Proven experience with monitoring and observability tooling (e.g., grafana, prometheus)
Hands‑on experience with containerization (Docker)
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with software packaging & versioning (docker images, debian packages)
Nice to Have
Experience working with robotics data (point clouds, camera streams, timeseries data)
Experience with Robotics & DevOps related tooling (Foxglove, Prometheus, Grafana)
Experience with Hardware‑in‑the‑loop testing setups
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 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.
#J-18808-Ljbffr
As our software engineer with focus on infrastructure, you will be driving the requirements gathering, development, rollout and operation of the related 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 quality of developer workflows. At the same time, you ensure the continuous deployment of software to a fleet of 20‑ton robots all across the world.
Responsibilities
Design, build and operate end‑to‑end CI pipelines covering software builds, testing, linting, static analysis, versioning, releases, and deployment ranging from edge devices in the field to cloud infrastructure
Own Configuration Management and infrastructure provisioning across the software department
Collaborate closely with Autonomy and Perception engineers to understand requirements and translate them into reliable, scalable development environments for maximum development efficiency and velocity
Own, operate and enhance in‑office Hardware‑in‑the‑loop test setups
Own, operate and enhance fleet monitoring systems
Closely collaborate with ML Ops Engineers and Simulation Engineers on shared infrastructure
Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or a related field
3+ years of hands‑on experience in Software Engineering, DevOps, data engineering, or similar roles
Strong Software Engineering skills and solid experience with related tooling (e.g., clangd, cargo, pyrefly)
Proven experience building and managing CI pipelines for build, test and ML workloads (e.g., GitHub Actions or GitLab CI)
Proven experience with infrastructure as code (e.g., ansible, terraform)
Proven experience with monitoring and observability tooling (e.g., grafana, prometheus)
Hands‑on experience with containerization (Docker)
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with software packaging & versioning (docker images, debian packages)
Nice to Have
Experience working with robotics data (point clouds, camera streams, timeseries data)
Experience with Robotics & DevOps related tooling (Foxglove, Prometheus, Grafana)
Experience with Hardware‑in‑the‑loop testing setups
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 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.
#J-18808-Ljbffr
Software Engineer - Infrastructure Arbeitgeber: Gravisrobotics
Gravis Robotics ist ein hervorragender Arbeitgeber, der in Zürich ansässig ist und eine dynamische Arbeitsumgebung bietet, in der Innovation und Teamarbeit im Vordergrund stehen. Mitarbeiter profitieren von flexiblen Arbeitszeiten, einer ausgewogenen Work-Life-Balance und der Möglichkeit, sich in einem wachsenden Team weiterzuentwickeln, das sich auf bedeutende Technologien konzentriert. Zudem wird Wert auf Vielfalt gelegt, was zu einer inspirierenden und unterstützenden Unternehmenskultur beiträgt.
