Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead technical authority for InfiniBand and GPU interconnect fabric operations in hyperscale AI/HPC environments. Own incident leadership, deep multi-layer debugging across hardware/firmware/drivers/OS, define failure models, operational standards, and build automation, telemetry, and tooling to improve reliability and observability at fleet scale.

Delivers fiber network infrastructure by supporting technical designs, coordinating external suppliers, tracking construction and permitting schedules, reviewing fiber characterization results, and producing as-built documentation. The role manages delivery risks, remediation activities, quality inspections, technical reports, and communication with cross-functional teams and leadership. Travel to project sites may be required for quality assurance inspections.

Design, implement, test, and maintain database engine features and cloud backend services. Collaborate with stakeholders on requirements and architecture, write extensible maintainable code, create test plans and unit tests, support live services (on-call), and contribute to tool and open-source improvements for PostgreSQL and Linux.

Leads technical security sales engagements through demonstrations, proofs of concept, hackathons, architecture workshops, and customer consultations. Designs secure, scalable cloud and hybrid architectures, resolves technical blockers, improves customer security posture, and accelerates adoption of Microsoft security, developer, cloud, and AI technologies. Builds trusted relationships with technical decision-makers, develops security strategies and competitive plans, and contributes thought leadership in developer and customer communities.

Drive technical sales and customer adoption of Microsoft's cloud database and analytics platforms through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable data architectures, migrations, and deployment workflows. Collaborate with engineering teams to resolve technical blockers, influence product improvements, and promote Microsoft Fabric, Azure Databases, Databricks, Purview, and related technologies.

Own product strategy and multi-year roadmaps for GPU back-end networking infrastructure supporting large-scale AI training and inference. Translate customer and workload needs into requirements, align engineering and supplier roadmaps, and manage products through qualification, launch, deployment, and lifecycle improvement. Drive cross-functional execution across networking, hardware and software engineering, datacenter infrastructure, operations, supply chain, finance, and customer teams while optimizing performance, reliability, cost, and deployment readiness.

Work on end-to-end performance of LLMs: benchmark and optimize inference on Nvidia/AMD GPUs and Microsoft silicon, build tooling for profiling and deployment, accelerate model porting, and collaborate with internal and external partners to reduce hardware footprint and improve time-to-market.

Perform offensive security research and vulnerability discovery for Windows. Build tools/agents and fuzzers, perform code and security design reviews, develop proofs-of-concept mitigations, collaborate with product teams, and engage external researchers to improve OS security.

Designs and delivers secure, scalable, AI-ready data platforms on Microsoft Azure. Leads customer architecture sessions, proofs of concept, production deployments, and data modernization initiatives using Fabric, Databricks, Cosmos DB, and Purview. Advises customers and partners on performance, resiliency, security, governance, cost optimization, and adoption while providing technical pre-sales support, enablement, and architecture leadership.

Develops and executes business strategies for Microsoft’s Developer/GitHub business. Analyzes market and competitive trends, identifies growth opportunities, creates strategic narratives and planning materials, and leads cross-functional initiatives. Coordinates stakeholders across sales, engineering, finance, marketing, business planning, partners, and customer-facing teams while influencing senior leadership through data-driven recommendations.