GPU Cluster Infra Tech Lead & Team Builder

AISafety; Berkeley (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Insurance

401(k) plan

PTO - 25 days per year

Paid Bereavement, Family, Medical and

Pregnancy Disability Leave

WFH stipend & Equipment

Catered meals (Berkeley Office)

Job summary

FAR.AI in Berkeley, CA, is seeking an infrastructure leader to own the platform's technical direction for GPU-heavy research workloads. You will partner with research teams, hire and mentor senior engineers, and shape the roadmap for a scalable, fault-tolerant compute cluster.

This role emphasizes hands-on engineering alongside leadership, with opportunities to influence security posture, on-call processes, and cross-provider orchestration as FAR.AI scales its frontier AI safety work.

Qualifications

• You've led engineers as a manager, tech lead, or project lead, setting technical direction, scoping work, and giving feedback.
• You have 5+ years in systems or infrastructure engineering on production Linux, running GPU, HPC, or large-scale batch platforms, and you've owned systems from design through operation.
• You've run production Kubernetes for GPU workloads with a batch layer on top (Slurm, Kueue, Volcano, or similar), including quotas, priority and preemption, and node health.
• You've owned infrastructure as code and observability for a production fleet, provisioning with Terraform or Ansible, deploying with Helm and ArgoCD, and monitoring with Prometheus, or their equivalents.
• You're a strong programmer in at least one language that infrastructure is commonly written in, such as Python, Go, Rust, or C++, and your automation and services are maintained as shared code.
• You write clearly for engineers, researchers, and providers, whether it's a roadmap, a design doc, an incident summary, or an escalation.

Responsibilities

• Set the platform's technical direction and own its roadmap. You decide which systems we run, how we schedule and store across providers, and what we measure.
• Stay in the work. You own architecture and the scheduling and storage design, and you debug the failures that cross layers, such as node health, GPU and fabric faults, and multi-node job hangs.
• Hire and grow a small team of senior engineers. You set priorities and ownership, scope projects, and give regular feedback and coaching.
• Set security direction for a shared cluster where AI agents run experiments, covering identity and access, workload isolation, and sandboxing.
• Decide how we operate, from the on-call rotation and incident response to postmortems, fault tolerance, and observability, and take part in it alongside the team.
• Be the escalation point for research teams and for providers, and turn recurring problems into platform fixes.

Skills

Leadership experience

Systems/infrastructure engineering

Kubernetes GPU workloads

Terraform/Ansible

Programming: Python/Go/Rust/C++

Technical writing

Tools

Kubernetes

Slurm/Kueue/Volcano

Terraform

Ansible

Helm

ArgoCD

Prometheus

Job description

FAR.AI in Berkeley, CA, is seeking an infrastructure leader to own the platform's technical direction for GPU-heavy research workloads. You will partner with research teams, hire and mentor senior engineers, and shape the roadmap for a scalable, fault-tolerant compute cluster.

This role emphasizes hands-on engineering alongside leadership, with opportunities to influence security posture, on-call processes, and cross-provider orchestration as FAR.AI scales its frontier AI safety work.