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

Lead and coordinate complex customer engagements for NVIS from planning through bring-up, handover, and day-2 readiness. Drive cross-functional alignment, surface risks, produce executive RAG updates, resolve P0/P1 blockers, align scope and commercial commitments, and provide technical guidance for data center and AI infrastructure deployments. Support stakeholder communication across Sales, Solutions, OEM/SI partners, and NVIDIA teams.

Provide technical leadership to industrial engineering accounts, helping CAE/CFD/FEA ISVs and OEMs GPU-accelerate solvers, apply physics-informed ML and Omniverse digital-twin workflows, analyze architectures for performance, and deliver trainings, demos, and customer-facing solution builds to drive adoption on NVIDIA platforms.

Serve as a technical advisor for semiconductor customers and EDA developers to GPU-accelerate EDA and manufacturing workflows, apply ML/DL for inspection and yield, analyze architectures for acceleration, deliver trainings/demos, and collaborate with product and engineering teams to deploy scalable AI-enabled solutions.

Customer-facing senior software engineer supporting NVIDIA Networking (BlueField, ConnectX) for AI factories. Provide design-in support, engage customers and partners, identify architectures and requirements for hyperscale AI networking, work cross-functionally, and drive solutions involving embedded/high-performance networking, low-level programming, and performance tuning.

Design and validate Ethernet networking fabrics for AI/HPC clusters; mentor customers; build demos/POCs; create reference architectures and training; collaborate with engineering, product, and sales to secure design wins and drive product feature development.

Lead strategic GTM and co-selling initiatives with Google Cloud to drive NVIDIA AI adoption. Develop and maintain technical enablement assets, run developer activations and events, collaborate with Google Cloud field and engineering teams, convert samples into demos and labs, and translate customer feedback into product and roadmap insights.

Own strategy and execution for a portfolio of AI-native and hyperscale customers. Serve as primary relationship owner, drive revenue, market share and product adoption, coordinate with solution architects, product marketing, OEMs and partners, forecast and train customers, and evangelize NVIDIA platforms to accelerate enterprise growth.

Design, develop, optimize, and debug ultra low-latency C++ streaming systems and media pipelines (WebRTC, GStreamer, RTP). Analyze performance across CPU, memory, networking, and scheduling. Integrate streaming software with platform services across Windows, Linux, QNX, and embedded platforms. Define KPIs for networking and streaming quality and troubleshoot across software, OS, platform, and hardware boundaries.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Join the Compute Compiler Team to align NVIDIA's compiler codebases with open-source projects (LLVM/Clang/MLIR), build tooling and workflows for large-scale codebase reconciliation, and develop automation and AI-assisted developer tools to improve productivity, validation, and refactoring across distributed teams.