Artificial Intelligence Jobs in Sunnyvale, CA

The role involves developing partnerships with ISVs delivering AgentOps services, managing technical engagement, and collaborating with teams for product integration and strategy.

The Senior Product Manager will lead AI product strategies for local deployment on NVIDIA platforms, focusing on developers and enterprise needs.

Lead strategic AI platform initiatives, define product vision, drive clarity in cross-functional engagements, and improve developer productivity by delivering AI-powered capabilities.

Lead the Go-To-Market strategy for NVIDIA's AI software, engage with strategic partners, create enablement materials, and drive sales growth.

The role involves proposing and testing novel research in AI-Mediated Reality, collaborating with teams, and mentoring. Publication in top conferences is essential.

The role involves developing AI agents for verification tasks, collaborating with hardware teams, and optimizing algorithms for data processing while integrating AI optimizations into existing tools.

The Developer Relations Manager will engage with partners in Conversational and Generative Media, enhance adoption of NVIDIA's AI technologies, provide technical guidance, and drive co-innovation efforts.

Conduct cutting-edge research on generative AI methods, focusing on biomolecular design. Collaborate with teams and publish findings.

The Senior Solutions Architect will lead prototyping for AI partners, architect AI systems, resolve technical issues, and produce reusable assets to enhance enterprise AI adoption.

The AI Platform Engineer will architect and maintain AI infrastructure, drive cross-org initiatives, and mentor teams to adopt AI-first engineering practices.

Lead development of AI-driven solutions for timing and constraint analysis in EDA, integrating data sources and creating autonomous analysis agents.

Lead strategic engagement with AI platform and tools ecosystem, enhance partner product direction, technical onboarding, and ecosystem growth with NVIDIA's technology.

The role involves designing, building, and deploying compute and networking solutions for AI and HPC, supporting customers with integration and performance debugging.

The role involves leading developer relations for AI platforms, guiding partners on product integration, and fostering collaboration for ecosystem growth.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

Lead and architect AI agent applications by improving reliability, performance, and scalability. This role focuses on full-stack development, operational excellence, and collaboration across teams to build robust production systems.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

Lead product strategy and execution for an enterprise agentic AI platform. Own agent runtime, MCP connectors, intelligence/data layers, evaluation frameworks, developer experience (SDK/CLI/templates), and governance to enable domain teams to build and promote production-grade agentic applications rapidly while ensuring security, quality, and scalability.

The Senior Director of AI Technical Programs leads AI initiatives for Process Support Engineers, ensuring effective tool integration and knowledge access. Responsibilities include managing technical programs, stakeholder alignment, AI solution development, and team leadership for improved operational efficiency.

Lead a data science team to design, build, and deploy large-scale, real-time AI/ML solutions (forecasting, diagnostics, LLM chatbot, retention models, optimization) to optimize GPU cloud gaming performance and user experience.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

The AI Research Scientist will develop generative models for scientific discovery, mentor junior team members, and work collaboratively to innovate AI applications in materials science.

Drive user growth and go-to-market execution for a new AI voice agent product through various acquisition channels and strategies while collaborating with cross-functional teams.

The role involves developing cloud-native applications, defining cloud architecture, building data engineering pipelines, and ensuring security practices across AI/ML solutions and big data integrations.

This role involves owning the architecture and design of complex SoC subsystems, leading cross-functional collaboration, ensuring design quality, and mentoring senior engineers.