Member of Technical Staff — Cluster Infrastructure & Supercomputing
Palo Alto, CA$200k - $400kfull-timePosted 5mo ago
About the role
Architect and scale core compute platform for frontier-level AI training and inference by designing and operating high-performance GPU/TPU clusters, building scheduling and resource management systems, and optimizing large-scale distributed infrastructure for AI workloads.
Responsibilities
- Architect and scale large AI compute clusters for training and inference
- Design cluster management, scheduling, and resource allocation systems
- Optimize performance, utilization, and reliability of GPU/TPU clusters
- Improve fault tolerance and system resilience at scale
- Drive observability, monitoring, and performance profiling for cluster infrastructure
- Collaborate with ML and systems engineers to support frontier AI workloads
- Lead capacity planning and infrastructure scaling strategies
- Build internal platforms and tooling to improve developer productivity
- Document architecture, operational practices, and reliability strategies
- Contribute to long-term platform vision and technical direction
Qualifications
- 5+ years of experience in distributed systems, infrastructure, or large-scale compute platforms
- Strong background in distributed systems design and systems architecture
- Deep experience with cluster management systems (Kubernetes, Slurm, Ray, or custom schedulers)
- Hands-on experience with GPU/TPU infrastructure in production environments
- Strong Linux systems and networking fundamentals
- Proficiency in Go, Rust, C++, or Python for production systems
- Experience debugging complex multi-layer issues across hardware, OS, networking, and distributed services
- Proven ability to design reliable, scalable systems in production
Skills
Required:Distributed systems designCluster managementGPU/TPU infrastructureLinux networkingProgramming languages
Last updated Aug 18, 2026. Interested? Apply on the company site.
About RadixArk
SHIP AI FOR ALL
RadixArk is an infrastructure-first, deep-tech company building large-scale inference and training systems for the entire AI community.
AI systemsMilesSGLangbessemer-ai-infrastructure-2026inferenceinference-inflection-pointinfrastructureopen infrastructure
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