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

Design and build automation, code generation, and build-system infrastructure to scale GPU hardware development. Refactor large codebases to be parameterized and data-driven, collaborate with ASIC and architecture teams, and apply modern software engineering (including CI and AI-assisted tooling) to improve developer productivity and quality across GPU design workflows.

Architect, prototype, and deploy production-grade agentic and multi-agent AI systems for Media & Entertainment. Build high-performance RAG pipelines over multi-modal assets, optimize GPU inference and TCO on NVIDIA platforms, advise customers pre/post-sale, and create reusable reference architectures, blueprints, and technical collateral to scale solutions.

Lead technical customer engagements to design, build, and deploy GPU-accelerated AI/ML, DL, and data analytics solutions on cloud platforms. Create PoCs, run demos, collaborate with sales and engineering, deliver workshops and technical presentations, and troubleshoot customer deployments at scale.

Design and implement Rust-to-GPU compiler backends, IR frameworks, and JIT/AOT toolchains. Lower Rust AST/MIR to MLIR/LLVM/PTX, build GPU-specific optimizers, enforce safe parallel abstractions across host/device boundaries, and expose ergonomic device-side primitives. Drive projects from research to production and support profiling, debugging, and benchmarking workflows.

The role involves driving the adoption of NVIDIA Omniverse, collaborating with partners on technical solutions, and providing support to overcome integration challenges while engaging at all levels.

Own product marketing for NVIDIA Earth-2: define positioning and go-to-market strategy, write technically grounded content, align sales/partners/customers, create visual narratives, and coordinate across product, engineering, PR, and campaign teams to drive adoption in climate and weather communities.

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.