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

Architect scalable compute platforms for AI/ML, simulation, and high-throughput workloads. Define system standards, reference designs, roadmaps, and technical requirements across hardware and software. Evaluate CPU, GPU, accelerator, networking, power, cooling, and density tradeoffs. Lead platform validation and performance characterization, collaborate with product and engineering teams, and mentor systems engineers on sizing and optimization.

Own mechanical design standards and cooling architectures for large-scale AI data centers. Design and size central plants, hydronic distribution, air-cooling, and liquid-cooling systems; perform thermal, hydraulic, and equipment calculations; review designs and vendor documents; coordinate with engineering, construction, and operations teams; and support procurement, testing, commissioning, failure investigations, and site activities.

Architect high-performance, low-latency networking for AI cloud platforms, GPU clusters, storage systems, and multi-tenant environments. Define network topologies, standards, reference designs, and scalability roadmaps; evaluate advanced InfiniBand and Ethernet technologies; guide automation and telemetry strategies; and build resilient, fault-tolerant architectures. Partner with compute and storage architects, mentor engineers, and influence technical decisions across teams.

Own controls standards and reference architectures for mechanical systems in large-scale AI data centers. Design control narratives, sequences, automation, instrumentation, alarms, PLC/DDC/BMS requirements, and system responses to failures and changing loads. Review vendor designs, coordinate cross-functional controls requirements, support testing and commissioning, troubleshoot control issues, and incorporate operational lessons into future standards. Travel to project sites and partner facilities as needed.

Owns electrical design standards and reference architectures for low-voltage power systems supporting high-density AI data centers. Leads design across transformers, switchgear, UPS systems, distribution, busway, and rack-level delivery. Performs or oversees electrical studies, develops technical documentation, evaluates designs, coordinates cross-functional requirements, and supports equipment selection, testing, commissioning, construction, and failure investigations. The role requires occasional travel to project sites, manufacturers, and partner facilities.

Owns electrical design standards and reference architectures for medium-voltage systems supporting large-scale AI data centers. Leads utility interconnection, campus distribution, studies, equipment specifications, protection schemes, procurement, testing, construction, commissioning, and failure investigations. Collaborates with utilities, engineering partners, manufacturers, construction teams, and operators. The role requires on-site presence in San Francisco four days weekly and travel to project sites and partner facilities as needed.

Own product strategy, definition, roadmap, pricing, packaging, and hardware productization for Lambda’s compute, storage, and networking infrastructure. Lead the unified customer experience across AI cloud primitives, partner with NVIDIA on technology integration, establish cross-functional operating mechanisms, and hire and develop product managers. The role requires deep cloud infrastructure expertise and strong judgment across technical, commercial, customer, and hardware considerations.

Lead Lambda’s Detection and Response function by building and managing a high-performing team, defining threat management and incident response frameworks, expanding automation and threat hunting, and ensuring 24/7 operational coverage. The role partners with engineering and executives, drives security tooling and AI-powered detection initiatives, establishes roadmaps and metrics, and leads blameless post-incident improvements across cloud and bare-metal infrastructure.

Develop and execute executive communications strategies for Lambda’s leadership team. Responsibilities include shaping executive voices and public profiles, writing talking points, keynotes, long-form content and social posts, securing media and speaking opportunities, building relationships with AI infrastructure reporters and analysts, creating communications frameworks, and managing agency relationships.

Leads Lambda’s content strategy, quality standards, production operations, SEO and GEO, executive thought leadership, product launch content, measurement, and team development. The role serves AI researchers, engineers, enterprises, and data center operators while translating technical AI infrastructure concepts into credible, high-impact content. It requires balancing long-term editorial strategy with hands-on execution and cross-functional leadership across product marketing, growth, engineering, research, design, and web marketing.