Artificial Intelligence Jobs in San Jose, CA

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.

Develop and optimize AI models for photography and video applications, translating code from Python to C++, and deploying on various platforms.

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

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 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.

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

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 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.

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 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 Software Engineer will design architecture, implement systems for Enterprise AI, collaborate on machine learning development, and support CI/CD practices.

Lead engineering initiatives in Responsible AI, collaborate on bias mitigation in ML applications, mentor engineers, and define technical strategy.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

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

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

The AI Engineer will develop and iterate on AI models for user personalization, query understanding, and content discovery while collaborating with cross-functional teams.

Perplexity seeks AI Research Scientists/Engineers to enhance AI-powered search products via research, development, and infrastructure building for model training and optimization.

The intern will conduct machine learning research, focusing on personalization, NLP, reinforcement learning, and computer vision while collaborating with various teams to improve Netflix's services.

The Applied ML Research Engineer will develop and deploy advanced video AI models, collaborating with product teams and Adobe Research to drive innovations in video understanding and content creation at scale.

The Business Development Representative will engage in lead generation and nurturing relationships with potential customers, focusing on C3 AI's products and solutions.

NVIDIA seeks a Senior Software Architect specializing in AI and HPC, responsible for developing and enhancing middleware, communication protocols, and runtime designs for high-performance computing systems.

As a Solutions Architect at NVIDIA, you will lead technical engagements for AI solutions, working with customers to optimize AI models and ensure deployments are successful.

The role involves advancing compiler technologies and machine learning solutions, requiring extensive experience in software engineering, compiler design, and various ML technologies.

Develop AI performance tools, conduct performance studies, automate data analysis, and support GPU performance analysis for AI workloads.