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

Leads NVIDIA’s global partner marketing strategy with cloud service providers, driving adoption of accelerated computing platforms. Responsibilities include joint marketing planning, integrated campaigns, events, executive relationships, market development fund management, performance reporting, and cross-functional coordination across sales, product, communications, and partner teams. The role requires extensive high-tech marketing experience, global program leadership, team management, budget ownership, executive communication, and willingness to travel.

Leads technical engagements with Tier-1 telecommunications customers and partners, mapping workloads to NVIDIA technologies. Designs scalable architectures, integration milestones, and deployment plans; validates solutions; troubleshoots complex issues; enables platform adoption; and communicates customer needs to engineering and product teams. The role requires deep telecom stack expertise, customer-facing technical leadership, and experience with software, hardware, AI inference, networking, containers, Kubernetes, and potentially CUDA/GPU programming.

Design and deploy AI networking platforms in customer data centers. Partner with customers on GPU, compute, storage, and fabric architecture; support infrastructure bring-up; troubleshoot InfiniBand, RoCE, Linux, NIC, and switching issues; conduct technical reviews; build proof-of-concepts; and translate customer requirements into product and engineering feedback. Collaborate with systems engineering, product management, and sales while supporting large-scale AI cluster deployments.

Develop and maintain automated integration and deployment for components in a Kubernetes-based software stack. Manage third-party dependencies, validate compatibility, maintain integration workflows, troubleshoot cross-component issues, and ensure compatibility with NVIDIA hardware. The role requires extensive Linux software development experience, Python proficiency, Kubernetes and container expertise, and collaboration with QA, CI/CD, development teams, and upstream projects.

Lead incident response, threat hunting, cloud and product security investigations across corporate, cloud, and product environments. Conduct digital forensics, malware analysis, vulnerability investigations, and cloud workload response across AWS, Azure, GCP, Kubernetes, and containers. Develop automated detection and response playbooks, map threats using MITRE ATT&CK, advise engineering and business teams, and strengthen security policies and defenses.

Design and optimize custom SRAM circuits for NVIDIA processing chips, balancing performance, area, and power. Collaborate with mask designers on dense layout, verify functionality and electrical robustness, and improve design automation and analysis flows. The role requires strong SRAM and memory design expertise, scripting skills, and experience with circuit design methodologies and industry tools such as Cadence Virtuoso and SPICE simulators.

Lead the research, design, and implementation of Trusted Execution Environment and Confidential Computing architectures for NVIDIA NIC and DPU products. Develop security primitives, threat models, isolation architectures, attestation methods, and secure management interfaces. Collaborate with hardware, software, research, product teams, customers, and partners to address security issues, validate designs, follow standards, and extend CJDNS with distributed key management.

Manage strategic biopharma and digital health accounts, build executive and developer relationships, expand NVIDIA platform adoption, communicate the value of its AI and accelerated computing offerings, develop account strategies, forecast revenue, and lead complex engagements with cross-functional teams and technology partners. The role requires enterprise technology sales expertise, healthcare ecosystem experience, strong revenue performance, AI/ML knowledge, and up to 25% travel.

Manage strategic medtech and digital health accounts, build executive and developer relationships, expand adoption of NVIDIA’s AI platform, drive revenue and exceed targets. Responsibilities include account strategy, forecasting, client engagement, partner collaboration, communicating platform value, and leading complex cross-functional enterprise engagements. The role requires extensive healthcare technology sales experience, strong knowledge of AI and accelerated computing, strategic thought leadership, and travel up to 25%.

Own and grow NVIDIA’s strategic relationship with a defense technology customer. Build executive partnerships, develop account strategies, coordinate ecosystem partners, and drive adoption of NVIDIA hardware and software across autonomy, AI, simulation, remote sensing, and edge deployment. Lead complex technical and commercial opportunities from evaluation through production, build qualified pipeline, close revenue-generating deals, and align internal technical and business teams around customer mission requirements.