About the role
Job Application for Member of Technical Staff — CI Engineer at RadixArk Back to jobs Member of Technical Staff — CI Engineer Palo Alto, CA Apply
About
the Role RadixArk is hiring a Member of Technical Staff — CI Engineer 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. What You’ll Do Own CI reliability end-to-end — triage failures, distinguish real regressions from flaky tests and infra issues, keep main green Build regression-based CI — replace hardcoded static thresholds with automated baseline comparison (metrics pipeline, durable storage, detection logic) Harden runner infrastructure — ephemeral runners, container isolation, security hardening for fork PR execution Cut CI time — right-size eval suites, deduplicate server startups, separate PR smoke tests from nightly full runs Improve developer experience — faster feedback, clearer failure messages, workflow orchestration
Requirements 3+ years operating CI/CD at scale (GitHub Actions, Buildkite, Jenkins, GitLab CI, or similar) 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)
