We are hiring a Robot Platform SWE
Start date: ASAP
Zürich, Switzerland (on-site, remote not possible)
Full-time (100%)
Your role
Robotics is the ultimate full-stack challenge. It combines heterogeneous compute, real-time guarantees, and AI models in a box that has to work unsupervised in the field for weeks. You will work on the backbone of our development cycle to make this a reality. You will ensure that the code runs safely, deployments are atomic, and we have the best tools to troubleshoot and roll-back when it goes wrong.
What you'll be doing
Maintain and improve the onboard Linux stack including kernel tuning, real-time patches (PREEMPT_RT), resource isolation (cgroups), and host metric collection
Integrate the software and hardware by ensuring that the drivers communicate seamlessly and deterministically (udp/tcp, CAN, serial)
Design and maintain CI/CD pipelines for multi-arch builds and secure OTA updates using Docker and Ansible
Establish good engineering practices, ranging from hardware-in-the-loop test frameworks and memory safety checks to code guidelines
What you should have
3+ years in a professional SWE environment, preferably in Robotics, Automotive, or Aerospace
Strong systems programming (modern C++) and experience in Python
Knowledge of Linux such as the networking stack, systemd, security/hardening, performance profiling
Experience in software building (CMake, Cargo, Docker) and infrastructure automation (Ansible, Terraform) or SW deployment (Docker, debs)
Experience in test automation (unit tests, integration tests)
Comfortable contributing across different domains
These skills are a plus:
Experience in Rust, ROS2, Zenoh
Experience with hardware-in-the-loop (HIL) and simulation-in-the-loop (SIL) testing
Worked on integrating and debugging real hardware: sensors, actuators, motor drivers,...
Experience with NVIDIA Jetson
As the first dedicated platform engineer, you will have a massive impact on our engineering culture. As the team grows, you can remain a high-impact generalist and work across all layers of abstraction or specialize and lead individual subsystems.
