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

Design, implement, and optimize distributed pre-training infrastructure for large-scale GPU clusters. Profile, benchmark, and debug compute, memory, networking, and storage bottlenecks; optimize communication libraries and GPU programming stacks; collaborate with hardware and model teams to scale training, ensure reliability, and influence architecture and roadmap.

Lead hardware-software co-design for datacenter-scale AI systems, analyzing real workloads to drive architecture, performance, and cost improvements; prototype and productionize optimizations across accelerators, runtimes, compilers, interconnects, and distributed training/inference; mentor engineers and influence hardware and platform roadmaps.

Design, build, benchmark, and operate large-scale reinforcement learning and pretraining systems on NVIDIA and AMD GPU clusters. Optimize distributed, parallel software for training models, gather compute-roadmap data, and collaborate to deliver production-grade conversational and generative AI features.

Design, implement, and optimize low-level software for Azure HPC/AI VMs. Diagnose HW/SW integration and performance issues, drive cross-team solutions, maintain service stability, and develop operational playbooks.

Lead technical vision and architecture for AI frameworks, performance, benchmarking, and tooling. Drive cross-team alignment, mentor engineers, ship high-performance distributed software, and improve model onboarding, runtime performance, reliability, and Azure hardware efficiency.

Leads multidisciplinary datacenter infrastructure design projects from feasibility and design development through permitting, construction, and operational turnover. Coordinates architects, engineers, designers, operations teams, stakeholders, and vendors while managing scope, schedules, budgets, technical decisions, and design delivery. The role focuses on networking and telecommunications infrastructure in existing and new datacenter facilities, including feasibility and gap analysis for upgrades and conversions.

Lead global go-to-market strategy for Security in SME&C, designing GTM plans for Corporate, SMB and Partner segments. Drive channel and partner strategy, align cross-functional stakeholders, influence product and marketing roadmaps, define KPIs, and advise senior leadership to accelerate pipeline, adoption, and revenue.

Lead cross-organizational capacity management programs for Microsoft Entra: forecast demand, secure supply, track deployment readiness, mitigate risks, drive automation and process improvements, and partner with engineering, datacenter provisioning, finance, and automation teams to ensure efficient hyperscale infrastructure capacity worldwide.

Lead customer engagements to qualify and close cloud and AI opportunities on Azure. Drive sales strategy, pipeline hygiene, partner co-sell, and AI-driven forecasting. Collaborate across account teams, enable customer adoption and consumption, and act as trusted advisor to accelerate AI and cloud transformations.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.