Member of Technical Staff — Cluster Infrastructure & Supercomputing

About the Role

RadixArk is looking for a Member of Technical Staff Cluster Infrastructure to architect and scale the core compute platform that powers frontier-level AI training and inference.

You will design and operate highly reliable, high-performance GPU/TPU clusters, build next-generation scheduling and resource management systems, and push the limits of large-scale distributed infrastructure for AI workloads.

This role focuses on deep systems engineering across cluster architecture, networking, scheduling, and performance optimization. Your work will directly impact how efficiently frontier AI models are trained and served.

Requirements

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

Strong Plus:

Experience with large-scale ML/AI workloads

Familiarity with RDMA, InfiniBand, or high-performance networking

Experience operating clusters at 1000+ GPU scale

Background in HPC or performance-critical systems

Open-source contributions in systems or infrastructure

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

About RadixArk

RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.

Compensation

Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.

Equal Opportunity

RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.