ШвейцарияRobot Deployment Engineer
вчера
ШвейцарияOnsite
hardware integrationsoftware developmentdeployment toolingdata capture
Engineering role responsible for robot hardware-software integration, fleet configuration, deployment tooling, and data capture to ensure reliable robot operation for research teams.
О компании
- Our Mission Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. We work in physical AI, on both existing commercial robots and our own custom hardware, from actuators and sensors to the software that runs them. As a Field Deployment Engineer you will make these robots work reliably for our research and engineering teams. We are onsite in our Zurich office. In this role you will take ownership of the layer between our robots and the teams that depend on them: hardware interfaces, bring-up, fleet configuration, deployment tooling and data capture. The goal is that every robot behaves consistently, and that every experiment starts from a known, working state. This is an engineering role: you spend your time writing software, integrating hardware and improving how the whole fleet is deployed.
Обязанности
- Develop and maintain hardware interfaces for robots, sensors and actuators.
- Integrate custom sensor payloads and hardware, from first power-on to reliable daily use.
- Bring up, debug and maintain real robots across the fleet.
- Ensure robot configuration and usage is standardized across the robots in our prototype fleet.
- Own and improve the deployment tools for the robots we use every day.
- Build tools to operate and debug robots.
- Identify recurring hardware and software problems and work with other teams to implement technical or process solutions.
- Be the first to play with new hardware to stay on top of new sensing, compute and actuation technologies
Требования
- MSc in robotics, computer science, electrical or mechanical engineering, or a related field, or equivalent practical experience.
- Hands-on experience with real robots.
- Working experience with ROS2.
- Strong C++ and Python.
- Strong Linux skills.
- System-level thinking: you reason about how software, hardware and algorithms interact, and you can trace a failure across layers.
- Experience with edge devices such as the NVIDIA Jetson family.
- Familiarity with custom electronics, communication protocols and real-time systems.
- A collaborative mindset, working closely with researchers and engineers.
- Contributions to open-source robotics software.