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Robot platform software engineer

Zürich
Loki Robotics
Software Ingenieur
Inserat online seit: Veröffentlicht vor 6 Std.
Beschreibung

Ph3Your Role /h3 pRobotics 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. /p h3What you'll be doing /h3 ul liMaintain and improve the onboard Linux stack including kernel tuning, real‑time patches (PREEMPT_RT), resource isolation (cgroups), and host metric collection /li liIntegrate the software and hardware by ensuring that the drivers communicate seamlessly and deterministically (udp/tcp, CAN, serial) /li liDesign and maintain CI/CD pipelines for multi‑arch builds and secure OTA updates using Docker and Ansible /li liEstablish good engineering practices, ranging from hardware‑in‑the‑loop test frameworks and memory safety checks to code guidelines /li /ul h3What you should have /h3 ul li3+ years in a professional SWE environment, preferably in Robotics, Automotive, or Aerospace /li liStrong systems programming (modern C++) and experience in Python /li liKnowledge of Linux such as the networking stack, systemd, security/hardening, performance profiling /li liExperience in software building (CMake, Cargo, Docker) and infrastructure automation (Ansible, Terraform) or SW deployment (Docker, debs) /li liExperience in test automation (unit tests, integration tests) /li /ul h3These skills are a plus /h3 ul liExperience in Rust, ROS2, Zenoh /li liExperience with hardware‑in‑the‑loop (HIL) and simulation‑in‑the‑loop (SIL) testing /li liWorked on integrating and debugging real hardware: sensors, actuators, motor drivers,... /li liExperience with NVIDIA Jetson /li /ul h3Additional context /h3 pAs 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. /p /p #J-18808-Ljbffr

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