{"id":163559,"url":"https://alion.io/job/arcee-ai-compute-infrastructure-specialist","title":"Compute Infrastructure Specialist","company":{"id":37957,"name":"Arcee AI","domain":"arcee.ai","url":"https://alion.io/company/arcee-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":270000,"period":"year","method":"role_country_seniority_unknown","sample_n":4424},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false}],"status":"live","first_seen_at":"2026-05-22T14:05:35Z","employer_posted_date":"2026-05-22","last_verified_at":"2026-10-28T10:25:52Z","board_verified":true,"closed_at":null,"days_open":158,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":158},"description":"Compute Infra Specialist\nRole Overview\nWe’re looking for a highly operational, technically savvy Compute Infra Specialist to help manage and scale the infrastructure that powers our AI workloads and customer deployments. This person will sit at the intersection of engineering, operations, and customer delivery, helping ensure GPU resources are efficiently allocated, deployments run smoothly, and customers have a strong experience using our infrastructure.\nThis is a hands-on role for someone who enjoys solving infrastructure problems, coordinating across teams, and working directly with cutting-edge AI systems.\nResponsibilities\nManage and track GPU/compute inventory across internal and customer environments\nCoordinate infrastructure provisioning for customer deployments and internal research workloads\nMonitor utilization, capacity, uptime, and cost efficiency across compute environments\nWork cross-functionally with Engineering, Research, Product, and GTM teams on deployment readiness and customer needs\nSupport customer onboarding and infrastructure troubleshooting alongside Solutions and Customer Success teams\nMaintain documentation around infrastructure processes, environments, and deployment standards\nHelp improve operational workflows around provisioning, monitoring, escalation management, and forecasting\nPartner with vendors and cloud providers as needed\nAssist with infrastructure planning related to scaling customer demand and new product launches\nQualifications\nExperience working with cloud infrastructure, GPU environments, or AI/ML infrastructure operations\nFamiliarity with Kubernetes, Linux environments, containerization, or cloud platforms (AWS/GCP/Azure)\nStrong operational and project management instincts\nComfortable working cross-functionally in a fast-moving startup environment\nAbility to communicate technical concepts clearly to both technical and non-technical stakeholders\nStrong organizational skills and attention to detail\nNice to Have\nExperience supporting AI/ML workloads or model deployment infrastructure\nExperience working directly with enterprise customers\nStartup 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