Manage GPU infrastructure, coordinate internal and customer deployments, monitor performance, and collaborate with various teams while providing operational support.
Compute Infra SpecialistRole Overview
We’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.
This is a hands-on role for someone who enjoys solving infrastructure problems, coordinating across teams, and working directly with cutting-edge AI systems.
Responsibilities- Manage and track GPU/compute inventory across internal and customer environments
- Coordinate infrastructure provisioning for customer deployments and internal research workloads
- Monitor utilization, capacity, uptime, and cost efficiency across compute environments
- Work cross-functionally with Engineering, Research, Product, and GTM teams on deployment readiness and customer needs
- Support customer onboarding and infrastructure troubleshooting alongside Solutions and Customer Success teams
- Maintain documentation around infrastructure processes, environments, and deployment standards
- Help improve operational workflows around provisioning, monitoring, escalation management, and forecasting
- Partner with vendors and cloud providers as needed
- Assist with infrastructure planning related to scaling customer demand and new product launches
- Experience working with cloud infrastructure, GPU environments, or AI/ML infrastructure operations
- Familiarity with Kubernetes, Linux environments, containerization, or cloud platforms (AWS/GCP/Azure)
- Strong operational and project management instincts
- Comfortable working cross-functionally in a fast-moving startup environment
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
- Strong organizational skills and attention to detail
- Experience supporting AI/ML workloads or model deployment infrastructure
- Experience working directly with enterprise customers
- Startup experience
Arcee AI San Francisco, California, USA Office
San Francisco, California, United States
Similar Jobs
Cloud • Information Technology • Machine Learning
Lead end-to-end technical delivery of large-scale bare-metal GPU clusters for strategic customers: facility/rack design, GPU cluster bring-up, InfiniBand/RoCE fabric validation, HPC benchmarking and remediation, operational models for BMaaS, and cross-team product feedback. Act as primary technical customer contact, run proofs-of-concept, collaborate with engineering teams, and support security-sensitive, production-ready supercomputers.
Top Skills:
AnsibleBare Metal As A Service (Bmaas)BashBiosBmcFirmwareGb200Gpu ClustersHigh-Speed FabricHpcIb_Write_BwInfinibandKubernetesLinuxNcclNvidia HgxNvlinkPxe BootPythonRoceSlurmTcp/Ip
Fintech • Payments • Financial Services
Support assessment and resolution of escalated compliance matters, analyze AML/CFT and integrity risks, partner with commercial and first-line teams to apply risk-based solutions, help develop compliance frameworks and escalation procedures, identify automation opportunities, and collaborate globally to ensure compliant onboarding and operations.
Fintech • Payments • Financial Services
Support assessment and resolution of escalated compliance matters across AML/CFT, integrity, and regulatory obligations. Partner with legal, risk, commercial, and operations to provide risk-based solutions, develop compliance frameworks, improve escalation procedures, and identify automation opportunities. Translate compliance issues into actionable steps and collaborate globally to execute compliance initiatives.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
