Minimum 2+ years experience building, shipping, and operating backend or infrastructure production systems (e.g., distributed services, control planes, schedulers, observability pipelines)
Mastery of distributed systems concepts: state reconciliation, retries and idempotency, consistency tradeoffs, autonomous automation on live infrastructure
Strong programming skills in modern systems languages such as Go, Rust, or C++
Ability to work through ambiguous problems, propose clear designs, and drive features from concept to production
Bias toward shipping practical production software with iterative delivery
Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or related technical discipline
Nice to Haves
Hands-on experience or familiarity with GPU health telemetry, NVLink/InfiniBand/RoCE networking fabrics, hardware thermal and power behavior
Experience designing scalable observability and telemetry pipelines spanning compute, storage, and networking layers
Exposure to Kubernetes internals, Slurm, or other distributed orchestrator ecosystems
Experience applying statistical methods, anomaly detection, or time-series forecasting to noisy operational data for predictive maintenance
Knowledge of zero-trust security architectures, policy-based access systems, or automated multi-tenant audit streaming
What You'll Be Doing
Design, build, and operate greenfield distributed services, control planes, and closed-loop remediation systems to automatically manage live AI workloads
Partner with staff and principal engineers to review architectures, establish safety rails, and share technical knowledge across the cloud services team
Collaborate daily with hardware engineering, energy management, data center construction, and customer support teams to align system design with physical infrastructure
Own development of core platform features such as unified observability pipelines, energy-aware compute scheduling, straggler detection, and self-qualifying hardware pipelines
Tackle rare infrastructure challenges including energy-aware compute scheduling, closed-loop remediation, and failure prediction on noisy hardware telemetry
Perks and Benefits
Competitive benefits package supporting financial security, health, and well-being