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

Lead invention of AI-driven ASIC development methodology, identify cross-stage bottlenecks, build scalable data pipelines, define metrics, mentor engineers, and evaluate AI/EDA research to improve predictability and cycle time.

The Senior Solutions Architect will collaborate with engineering and sales teams, optimize AI models, and guide customers using NVIDIA technology in AdTech and Media.

The Technical Marketing Engineer will promote NVIDIA's Ethernet Switch systems, create technical content, and collaborate on go-to-market strategies to enhance customer engagement and application performance.

The role involves developing AI-driven developer workflows and robotics integrations, focusing on cloud services, coding agents, and engineering best practices while collaborating with teams.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.

Analyze and run HPC applications to improve performance, assist in GPU acceleration, advise engineering teams on optimization opportunities.

Develop software for the CUDA-Q platform, focusing on quantum error correction and AI algorithms for quantum applications while improving CI/CD pipelines and collaborating with teams.

The role involves deploying and managing AI Compute infrastructure in Linux environments, serving as a technical liaison between NVIDIA and customers, and providing expert support and documentation.

The role involves leading the development of software tools for AI in chemistry, engaging with stakeholders, and translating scientific advancements into product directions.

Lead strategic engagement across developer ecosystems in manufacturing, driving adoption of NVIDIA's AI technologies and collaborating with partners to innovate solutions.