Software Engineer - Infrastructure

• 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