{"id":827770,"url":"https://alion.io/job/radixark-member-of-technical-staff-cluster-infrastructure-supercomputing","title":"Member of Technical Staff — Cluster Infrastructure & Supercomputing","company":{"id":686458,"name":"RadixArk","domain":"radixark.com","url":"https://alion.io/company/radixark","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":55,"open_postings":20,"ghost_share":0.75,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"GitHub","optional":false},{"name":"Go","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"SLURM","optional":false},{"name":"TPU","optional":false}],"status":"live","first_seen_at":"2026-02-17T07:36:43Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-09-24T12:13:24Z","board_verified":true,"closed_at":null,"days_open":219,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":218},"description":"About the Role\nRadixArk 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.\nYou 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.\nThis 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.\nRequirements\n5+ years of experience in distributed systems, infrastructure, or large-scale compute platforms\n\nStrong background in distributed systems design and systems architecture\n\nDeep experience with cluster management systems (Kubernetes, Slurm, Ray, or custom schedulers)\n\nHands-on experience with GPU/TPU infrastructure in production environments\n\nStrong Linux systems and networking fundamentals\n\nProficiency in Go, Rust, C++, or Python for production systems\n\nExperience debugging complex multi-layer issues across hardware, OS, networking, and distributed services\n\nProven ability to design reliable, scalable systems in production\n\nStrong Plus:\nExperience with large-scale ML/AI workloads\n\nFamiliarity with RDMA, InfiniBand, or high-performance networking\n\nExperience operating clusters at 1000+ GPU scale\n\nBackground in HPC or performance-critical systems\n\nOpen-source contributions in systems or infrastructure\n\nResponsibilities\nArchitect and scale large AI compute clusters for training and inference\n\nDesign cluster management, scheduling, and resource allocation systems\n\nOptimize performance, utilization, and reliability of GPU/TPU clusters\n\nImprove fault tolerance and system resilience at scale\n\nDrive observability, monitoring, and performance profiling for cluster infrastructure\n\nCollaborate with ML and systems engineers to support frontier AI workloads\n\nLead capacity planning and infrastructure scaling strategies\n\nBuild internal platforms and tooling to improve developer productivity\n\nDocument architecture, operational practices, and reliability strategies\n\nContribute to long-term platform vision and technical direction\n\nAbout RadixArk\nRadixArk 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.\nCompensation\nDepending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.\nEqual Opportunity\nRadixArk 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.","description_format":"text","description_chars":3389,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Infrastructure"],"lifecycle":[{"event":"open","at":"2026-09-12T15:26:28Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.27,"p_room":0.28,"age_days":218,"expected_fill_days":31,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/radixark-member-of-technical-staff-cluster-infrastructure-supercomputing","json_url":"https://alion.io/job/radixark-member-of-technical-staff-cluster-infrastructure-supercomputing.json","meta":{"generated_at":"2026-09-24T15:41:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}