Baseten
OS / K8s Systems Engineer
Remote Hardware Virtualization role with clear candidate location fit.
PostedMay 1, 2026
Eligible countries2 accepted countries
Seniority signalOpen level
Work settingRemote
Accepted candidate locations
CanadaUSA
Role overview
OS / K8s Systems Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster.
- Provisioning systems Design PXE-based or equivalent systems for imaging and lifecycle management.
- Reproducible infrastructure — Ensure clusters deploy consistently across data centers.
- Own the end-to-end automation of cluster bring-up and lifecycle management.
- Build and maintain OS images, provisioning systems, and configuration pipelines.
- Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar).
- Design systems for reproducibility across sites and hardware generations.
- Automate upgrades, rollouts, and failure recovery.
- Optimize system performance, including GPU utilization and networking.
- Partner with hardware and network teams to validate and improve system behavior.
- Experience building and operating automated infrastructure systems.
- Strong programming skills (e.g., Python, Go, or similar).
- Deep familiarity with Linux systems, including boot processes, drivers, and performance.
- Experience with provisioning systems (PXE, imaging, configuration management).
- Experience with Kubernetes.
- Strong debugging skills across system layers (hardware → OS → network).
- Experience working with GPU or high-performance workloads is a plus.
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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