RadixArk
Member of Technical Staff — Cluster Infrastructure & Supercomputing
$200K–$400K
Palo Alto +1 · On-site · Staff · Full-time · Posted Feb 17, 2026
- Location
- Palo Alto
San Francisco - Experience
- 5+ years in distributed systems, infrastructure, or large-scale compute platforms.
About the job
Architects and operates high-performance GPU/TPU clusters and distributed infrastructure for frontier AI training and inference.
What you'll do
- Architect and scale AI compute clusters; design scheduling and resource allocation systems.
- Optimize cluster performance, utilization, reliability, fault tolerance, and observability.
- Lead capacity planning and build internal platforms and tooling with ML and systems engineers.
What they ask for
- Strong background in distributed systems design and systems architecture.
- Deep experience with cluster management systems and production GPU/TPU infrastructure.
- Strong Linux systems and networking fundamentals; proficiency in Go, Rust, C++, or Python for production systems.
- Experience debugging complex multi-layer issues and designing reliable, scalable production systems.
Nice to have
- Experience with large-scale ML/AI workloads, RDMA, InfiniBand, or high-performance networking.
- Experience operating clusters at 1000+ GPU scale, HPC or performance-critical systems, or open-source systems/infrastructure contributions.
Pay
$200,000 - $400,000 USD annual salary (base salary)
Tools
Kubernetes, Slurm, Ray, Go, Rust, C++, Python, RDMA
AI focus
Builds and scales infrastructure for frontier AI training and inference workloads.
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