Artificial Intelligence Jobs in San Jose, CA

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

The Product Manager for Physical AI Agents will define the product roadmap, translate AI capabilities into features, and ensure quality evaluation for robotic agents while collaborating with research and engineering teams.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

The Senior Software Engineer will work on optimizing open-source LLM inference, enhancing performance on NVIDIA GPUs, and collaborating on production-ready solutions.

The role involves building AI applications, serving as a technical expert for partners, and developing prototypes using NVIDIA's Generative AI platforms.

The role involves collaborating with customers to optimize AI workloads, leading proof-of-concepts, and developing software for NVIDIA's AI frameworks while ensuring clear communication and team collaboration.

Lead development of XR-based teleoperation and data-collection systems for robotics, support partner onboarding and integrations, write docs and sample code, triage partner issues, review partner OSS contributions, optimize CloudXR/Omniverse/Isaac performance, and coordinate cross-functional NVIDIA teams to drive partner adoption.

Lead technical performance analysis and optimization of large-scale AI/HPC clusters. Diagnose cross-component bottlenecks, build and maintain benchmarking suites, collect and transform telemetry into time-series dashboards, and collaborate with engineering, field teams, and customers to resolve configuration and performance issues.

The Principal Engineer for AI/ML at McAfee leads the design and deployment of scalable AI solutions, mentors engineers, and drives technical strategies in a hybrid work environment.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The AI Robotics Researcher will conduct research in embodied AI, robotic manipulation, and world modeling, developing models and algorithms for dexterous robotic systems while collaborating to translate research into practical implementations.

Responsible for building AI frameworks for recommender systems on NVIDIA GPUs, developing product strategies, and collaborating with customers to enhance ML lifecycle products.

Lead the architectural development of AI agent frameworks for Windows, optimize performance on NVIDIA GPUs, and mentor engineers in deployment best practices.

The Data Growth Associate will drive global data collection strategies, user acquisition, and operational optimization while collaborating with cross-functional teams.

The Staff Technical Program Manager will coordinate software development for XPENG’s AI-driven vehicles, optimize agile practices, and manage program risks while tracking KPIs and OKRs.

As a Staff Software Engineer, you will design, develop, and enhance AI and machine learning applications and services, collaborating closely with cross-functional teams to ensure high-quality standards.

Drive benchmark results for GenAI inference, optimize performance across multiple models, and establish methodologies while leading technical initiatives in GPU performance engineering.

The Senior Software Engineer will design scalable infrastructure, develop data processing systems, and optimize compute environments for generative AI research at NVIDIA.

Develop and extend C++ and Python simulators for agentic AI workloads, run simulations, analyze performance bottlenecks, and collaborate on AI system designs.

As a Senior Applied AI and AI Infrastructure Engineer, you will manage AI projects, deploy infrastructure, mentor junior engineers, and apply AI for chip design.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

The Senior Digital Design Engineer will design and implement digital designs for high-performance connectivity solutions, collaborating across teams for successful product delivery.

The Principal Digital Design Engineer will architect and implement complex digital designs for connectivity solutions, oversee micro-architecture and RTL implementation, and mentor junior engineers.

The Sr. Staff Software Engineer will design and implement scalable systems for Conversational AI and automation, collaborating with teams to deliver solutions, mentor engineers, and ensure system reliability.