Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Own control architecture for rotating machinery and test rigs, including compressors, motor drives, expansion turbines, and thermofluid loops. Develop safety interlocks, fault handling, speed-based capacity control, and hardware-in-the-loop validation. Tune controls on live machines, investigate model-to-plant discrepancies, integrate production chillers with site BMS and plant systems, and document systems for operations teams.

Owns end-to-end aerodynamic and mechanical design of high-speed turbomachinery, including centrifugal compressors, expansion turbines, rotordynamics, magnetic bearing integration, stress analysis, and machine architecture. The engineer will take designs from mean-line analysis and CFD through geometry release, build, test-stand validation, performance-map analysis, and iterative redesign. Work spans advanced cooling systems, novel working fluids, high-speed motor-driven machines, and rapid development from concept to production.

Own the electrical design and integration of high-power machines, including DC buses, inverters, motor drives, magnetic-bearing amplifiers, test-cell power systems, and load banks. Lead EMC, harmonics, bearing-current, insulation, arc-flash, and electrical-safety work through installation and commissioning. Develop safe work practices for energized equipment and bring first-of-a-kind systems to full-rating operation.

Build software systems for large-scale AI compute operations, including fleet health monitoring, automated repair and RMA workflows, hardware qualification, facility asset management, and structured operational procedures. Develop production features using Go, Python, or TypeScript; integrate LLMs and agentic tools; support on-call operations; and work closely with production engineers and facility operators to improve reliability and deployment speed.

Lead product direction for ontology and data products that model and support compute production. Translate messy operational domains into data models, specs, and product surfaces; drive technical tradeoffs and ship end-to-end; run stakeholder discovery and validate impact; define and track success metrics to optimize product outcomes.

Lead global monthly and quarterly close activities for payroll, benefits, accounts payable, and operating expenses under US GAAP. Manage accounting systems, prepare technical accounting memos, oversee SOX and internal controls readiness, and support audits. Mentor corporate accounting and offshore shared-services teams while building scalable processes and automation. Partner cross-functionally with FP&A, tax, treasury, reporting, IT, sales operations, and workplace services.

Lead the supplier quality engineering team, manage supplier quality processes, develop KPI metrics, and enforce quality standards for manufacturing and infrastructure.

Build and maintain foundational infrastructure platforms (CMDB, DCIM, asset lifecycle, monitoring, observability, automation). Deliver self-service tooling, workflow orchestration, integrations, and scalable, reliable systems while partnering with operations, security, and product teams. Drive technical direction, CI/CD, IaC, and production readiness for fleet-scale data center infrastructure.

Lead end-to-end external connectivity strategy: manage carrier relationships, procure and track circuits, ensure diverse OSP fiber paths, coordinate fiber builds, plan backbone/POP placement, support peering/interconnection, and provide connectivity intelligence for datacenter site selection and capacity forecasting.