Artificial Intelligence Jobs in Sunnyvale, CA

As a Senior Software Engineer II, you will optimize a Generative AI product, focusing on scalability, API design, and collaboration with cross-functional teams.

In this role, you will lead the development of AI-driven products, collaborating with cross-functional teams to innovate and implement scalable features using cutting-edge technologies.

The Senior Engineer, Applied AI will enhance AI systems for task automation, model testing, and fine-tuning while collaborating with teams to integrate AI capabilities.

The role involves advising customers on AI solutions, collaborating on projects, and implementing scalable systems for data processing with a focus on generative AI.

Lead and mentor on large-scale HPC systems, develop GPU-accelerated solutions, support researchers, and optimize performance for AI workloads.

The AI Inference Engineer will develop APIs for AI inference, address performance bottlenecks, and implement model optimizations.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

The role involves designing and implementing AI solutions, collaborating with customers and teams, and managing enterprise software integration, requiring advanced technical knowledge and communication skills.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

Design and analyze circuits for AI silicon, focusing on circuit design, power simulations, and optimizing performance.

Design and implement evaluation pipelines for AI models, focusing on user feedback integration and performance optimization in consumer products.

Design innovative user experiences for the Gemini App, focusing on growth and discovery initiatives, collaborating with cross-functional teams and enhancing user engagement.

The AI Software Engineer will develop and implement AI solutions for Tencent's overseas game studios, focusing on improving efficiency through various AI technologies.

The Senior Financial Analyst will manage financial analyses, forecasting, and operational improvements while collaborating with various teams to enhance financial planning and reporting.

Lead the quality assurance for AI software, defining test strategies, managing a team, ensuring compliance with safety standards, and utilizing automated testing tools.

The role requires designing and optimizing large scale networks, particularly in AI/HPC, while analyzing performance metrics and enhancing systems for training and inference workloads, including significant travel for buildouts.

Drive adoption and understanding of NVIDIA's AI models through technical marketing, creating content, and engaging with developers and customers.

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

The AI Developer Intern will design and develop AI agents, implement RAG models, fine-tune open-source models, collaborate with teams, and optimize AI systems.

Develop applications for machine learning and generative AI technologies, automate data analysis, and collaborate on prototyping solutions for semiconductor testing.

The role involves architecting and implementing AI agents for Supply Chain, ensuring integration with IT and Operations data, and driving technical feasibility through proof of concepts. It includes leading designs, mentoring teams, and promoting secure, reliable AI solutions.

NVIDIA is seeking a Senior AI MLOps Engineer to develop training for partners on AI and MLOps, focusing on effective deployment and support of NVIDIA AI infrastructure.

The Global Field Enablement Manager will develop training programs for sales and technical teams, focusing on NVIDIA's AI, visualization, and virtualization solutions, requiring strong collaboration and innovative content creation skills.

The AI Deployment Strategist will drive AI adoption, design solutions, and ensure customer success by collaborating with stakeholders and leading workshops to identify opportunities.

The Program Manager will oversee and drive autonomous project initiatives, collaborate with engineering leads, develop metrics, and deliver executive updates.