RadixArk builds large-scale inference and training systems for the entire AI community, making frontier-level AI infrastructure open and accessible. Backed by Accel.
About the role
RadixArk is hiring a Member of Technical Staff — CI / Infrastructure to own the infrastructure that keeps SGLang moving. Our CI system runs 300+ GPU tests across NVIDIA, AMD, Intel, and Ascend hardware pools, gating every commit to one of the fastest-growing open-source LLM inference engines. When CI is green and fast, 100+ contributors ship with confidence. When it isn't, the entire project stalls. That bottleneck is your problem to solve.
What they're looking for
- Deep Linux, Docker, GPU computing knowledge
- Self-hosted runner management experience
- Strong Bash and Python
- Security mindset — CI supply chain risks, fork PR attack vectors, runner hardening
- NVIDIA GPU drivers, CUDA, NCCL, InfiniBand/RDMA experience in CI contexts
- Familiarity with ML inference workloads (model loading, KV cache, quantization)
More about this role
RadixArk is hiring a Member of Technical Staff — CI / Infrastructure to own the infrastructure that keeps SGLang moving. Our CI system runs 300+ GPU tests across NVIDIA, AMD, Intel, and Ascend hardware pools, gating every commit to one of the fastest-growing open-source LLM inference engines. When CI is green and fast, 100+ contributors ship with confidence. When it isn't, the entire project stalls. That bottleneck is your problem to solve.
You won't just maintain pipelines — you'll architect them. You'll replace brittle static thresholds with regression-based detection, harden runners against supply-chain attacks from fork PRs, and cut cycle times so contributors get feedback in minutes, not hours. You'll work directly with core maintainers, hardware partners, and the open-source community to keep the system that gates every merge request trustworthy, fast, and secure.
This is not a role for someone who wants to write CI YAML and walk away. It's for an engineer who treats CI infrastructure the way we treat serving infrastructure — as a system worth designing well.
- Own CI reliability end-to-end — triage failures, distinguish real regressions from flaky tests and infra issues,...
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