About the RoleRadixArk 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.
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)
Nice to Have- Large open-source project CI experience (100+ contributors)
- AMD ROCm or Intel XPU CI pipelines
What Success Looks Like- Day 20 - Full CI landscape understood, daily triage taken over, top recurring flaky tests fixed, PR CI time reduced 30%+
- Day 40 - Regression-based checks live on nightly CI, ephemeral runner prototype deployed, runner isolation in place
- Day 60 - Zero flaky tests. Main CI 100% green when no real regression exists
How to ApplyReach out via Slack or email. CI fix PRs to major open-source projects are worth more than a resume.
CompensationDepending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
