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

Engineer mechanical demand flexibility for data center cooling: model thermal inertia and headroom per site, design setpoint/staging/storage strategies, validate models via instrumented field tests, quantify operating risk in degrees/minutes/margins, and collaborate with controls engineers.

Lead public affairs for data center and power projects: build community support, run responses to media/hearings/opposition, organize town halls and briefings, coordinate with development, legal, and government relations, and produce clear written materials (talking points, testimony, letters).

Model compute, network, and support hardware capacity across sites; reconcile demand with orders, inventory, and lead times; build automated capacity views for planning and procurement; detect and resolve discrepancies to prevent schedule delays.

Design and engineer modular data center products from concept to released drawings, resolve cross-discipline integration issues, support factory and field with rapid RFIs and revisions, and prototype/validate assemblies through in-person fit checks and first-article reviews.

Lead technical direction for compute qualification, own hardest hardware qualifications (first silicon, new platforms), build test automation and data pipelines, perform root-cause failure analysis, mentor engineers, and represent the lab to vendors and fleet stakeholders.

Lead technical accounting for revenue, leases, project finance, and equity; produce GAAP financial statements and manage close cycles; establish policies, controls, and audit support; partner cross-functionally to structure and account for complex transactions and prepare the company for audit and public-company readiness.

Lead global indirect tax (VAT/GST/sales & use) for a multi-entity company: build compliance processes and registrations, design reclaim workflows, advise on transaction structuring and cross-border flows, and automate tax determination and filings through tax engines and ERP systems.

Lead deployment projects for robotics across factories and data center sites: coordinate vendors and integrators from survey to steady-state, own the deployment playbook (safety, commissioning, training, support), and track post-launch performance to drive fixes or decommission underperforming cells.

Design, build, and own ML/LLM systems for operations: forecasting, schedule risk detection, document extraction, and agentic systems. Handle end-to-end model lifecycle, deploy and evaluate in production, and integrate predictions into operational tools.

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.