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

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Own Configuration Management and infrastructure provisioning across the software department

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Collaborate closely with Autonomy and Perception engineers to understand requirements and translate them into reliable, scalable development environments for maximum development efficiency and velocity

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Own, operate and enhance in-office Hardware-in-the-loop test setups

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Own, operate and enhance fleet monitoring systems

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Closely collaborate with ML Ops Engineers and Simulation Engineers on shared infrastructure

Required Qualifications •

Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or a related field

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3+ years of hands-on experience in Software Engineering, DevOps, data engineering, or similar roles

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Strong Software Engineering skills and solid experience with related tooling (e.g. clangd, cargo, pyrefly)

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Proven experience building and managing CI pipelines for build, test and ML workloads (e.g. GitHub Actions or GitLab CI)

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Proven experience with infrastructure as code (e.g. ansible, terraform)

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Proven experience with monitoring and observability tooling (e.g. grafana, prometheus)

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Hands-on experience with containerization (Docker).

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Experience with cloud platforms (AWS, GCP, or Azure).

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Experience with software packaging & versioning (docker images, debian packages).

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

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Experience working with robotics data (point clouds, camera streams, timeseries data).

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Experience with Robotics & DevOps related tooling (Foxglove, Prometheus, Grafana)

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Experience with Hardware-in-the-loop testing setups