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

Drive deployment of NVIDIA GPU and networking solutions at customer data centers: advise on network/compute/storage design, perform bring-up visits, debug performance, build POCs/demos, and liaise with product, engineering, and sales teams.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.

Lead developer advocacy for payments, driving adoption of NVIDIA AI and computing platforms. Support partner integrations, provide code samples and demos, research ecosystem trends, collaborate with engineering and partners, present at conferences, and promote co-innovation for payments use cases like fraud detection and personalization.

Serve as technical lead between NVIDIA and hyperscale CSPs on GPU firmware and system software. Drive firmware update orchestration, recovery procedures, multi-GPU coordination, telemetry/health monitoring, and incorporate CSP feedback into NVIDIAs roadmap to improve fleet-scale manageability and reliability.

The Senior Developer Relations Manager will engage with developer ecosystems in agriscience, driving the adoption of NVIDIA technologies through technical guidance, collaboration, and strategic advocacy. Responsibilities include advising on resources, onboarding partners, monitoring ecosystems, and collaborating across functions to promote successful integrations.

Lead technical engagements with cloud service providers on rack-scale system software and firmware. Drive architecture alignment, integration readiness, error handling and recovery, health telemetry, firmware orchestration, and serviceability. Capture CSP feedback, influence NVIDIA system software design, improve tooling and tests, and mitigate execution risks through early collaboration.

Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.

Design, develop, and optimize high-performance C++ systems for ultra-low-latency media streaming. Build and improve streaming pipelines (WebRTC, GStreamer, RTP/RTCP), analyze performance across server, network, and media pipelines, and collaborate with encoding, cloud networking, and systems teams to define KPIs and reduce latency for cloud gaming and related use cases.

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.