Software Engineer - Infrastructure

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

• 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).

Don't meet every requirement? We still want to hear from you. These are nice-to-haves, not dealbreakers:

• 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

Diese Anzeige stammt von ats_lever. Originalanzeige ansehen ↗