Artificial Intelligence Jobs in Sunnyvale, CA

The AI Inference Performance Engineer will optimize GenAI inference workflows, enhance performance metrics, and collaborate with teams on advanced AI models and benchmarks.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

Lead the architecture of SoCs for embedded AI systems in automotive and robotics, guiding product roadmaps, performing analyses, and collaborating with stakeholders.

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

The Engineering Insights Analyst will maintain dashboards, support reporting, perform data validation, and automate reporting tasks, focusing on analytics and metrics within engineering functions.

Lead the go-to-market strategy for NVIDIA's AI software, driving partner sales and engagements, developing enablement materials, and influencing product roadmaps.

The Solutions Architect will guide cloud partners in adopting architectures for optimal performance, reliability, and security, create training materials, and facilitate collaboration to improve partner success.

Manage technical and business partnerships in EDGE AI, lead design and architecture of solutions, contribute to product strategy, and drive customer engagements.

The DevOps Engineer will design and manage scalable cloud environments, improve CI/CD pipelines, and oversee Kubernetes clusters, ensuring efficiency and reliability.

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

Intern will design machine learning algorithms and develop innovative deep neural networks for robotics problems, focusing on autonomous technology.

Designs and oversees development of Intel GPU AI software across the entire stack, ensuring performance, stability, and ease of use, while mentoring technical leaders and aligning technical strategies with organizational goals.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

Lead a high-performing engineering team managing AI Runtime's custom training infrastructure. Drive product roadmap, architectural decisions, and customer-centric designs while ensuring optimal GPU training and reliability.

Lead the development of AI software resiliency features, optimizing system reliability for large-scale AI supercomputers, coding in C++ and Python, collaborating across teams, and managing deployments.

The role involves researching and developing novel generative AI methods, collaborating with teams, publishing work, and transferring technology to product groups.

As a Technical Program Manager, you'll lead complex AI research projects, translating technical goals into execution plans, while managing cross-functional teams and enhancing research velocity.

Lead development of high-throughput, low-latency LLM inference: contribute upstream to vLLM/SGLang, optimize runtimes from Python to CUDA, improve multi-GPU/node scaling, ensure robustness and observability, and mentor engineers while integrating community advances into production.

Lead the design and deployment of intelligent agent systems, working with customers to tailor workflows and integrate APIs, ensuring scalability and performance.

The Solutions Architect will develop AI applications at scale, focusing on machine learning, deep learning, and generative AI. Responsibilities include integrating enterprise data, providing feedback for software improvements, and collaborating with engineering teams.

The Solutions Architect will design and build enterprise AI solutions, aid in adopting NVIDIA AI technologies, and work on deep learning applications for customers across industries.

The Senior Customer Program Manager will drive technical and operational programs for customers, ensuring successful delivery and alignment through excellent program management and collaboration across teams.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

The GM of AI Dev Conference will lead the strategy and execution of AI events, manage partnerships, optimize workflows, curate content, and build a high-performing team.