Tech Lead Manager, GPU Cluster Infrastructure

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🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FAR.AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

📚 Education

🤝 Non-profit

Artificial Intelligence • Education • Non-profit

FAR. AI is a research and education non-profit organization focused on ensuring advanced artificial intelligence is safe and beneficial for everyone. It conducts technical research on robustness, deception, interpretability, and evaluation of frontier AI systems, runs events and workshops that convene academic and industry leaders, and operates programs (like FAR. Labs and grantmaking) to support researchers and build capacity in trustworthy AI. FAR. AI also publishes findings, provides training and policy-facing convenings, and collaborates with universities and agencies to advance secure, aligned AI.

📋 Description

• Set the platform's technical direction and own its roadmap • Decide which systems to run, how to schedule and store across providers, and what to measure • Own architecture and scheduling and storage design • Debug failures across layers, including node health, GPU and fabric faults, and multi-node job hangs • Hire and grow a small team of senior engineers • Set priorities and ownership, scope projects, and provide regular feedback and coaching • Set security direction for a shared cluster where AI agents run experiments, including identity and access, workload isolation, and sandboxing • Define operations including on-call rotation, incident response, postmortems, fault tolerance, and observability • Participate in operational practices alongside the team • Serve as escalation point for research teams and infrastructure providers • Turn recurring problems into platform fixes • Work directly with researchers and engineers to keep large-scale experiments performant and fault-tolerant

🎯 Requirements

• Experience leading engineers as a manager, tech lead, or project lead, including setting technical direction, scoping work, and giving feedback • Desire to manage people directly; prior direct reports are not required • 5+ years of systems or infrastructure engineering experience on production Linux • Experience running GPU, HPC, or large-scale batch platforms • Experience owning systems from design through operation • Depth in at least one of scheduling, storage, networking, security, or GPU systems, with enough breadth to review designs in the others • Experience running production Kubernetes for GPU workloads with a batch layer such as Slurm, Kueue, or Volcano, including quotas, priority and preemption, and node health • Experience owning infrastructure as code and observability for a production fleet • Experience with Terraform or Ansible, Helm, ArgoCD, and Prometheus, or equivalents • Strong programming ability in Python, Go, Rust, C++, or another language commonly used for infrastructure • Clear technical writing for engineers, researchers, and providers • Additional desirable skills include distributed training infrastructure, distributed storage, cluster security, scheduler internals, multi-provider platforms, and greenfield team-building

🏖️ Benefits

• Health insurance: 94% of insurance premium paid by the organization, commencing within 1 month after start date • 401(k) plan with up to 2% match • 25 days paid time off per year, accrued weekly • Up to 10 days of paid sick leave per year • Paid bereavement, family, medical, and pregnancy disability leave • Work computer and WFH stipend provided for eligible employees • Catered lunches and dinners on workdays at the Berkeley office • Visa sponsorship for in-person employees • Paid work trial lasting up to 1 week