Artificial Intelligence Jobs in Fremont, CA

Lead product marketing initiatives for NVIDIA's Autonomous Vehicles, engaging with customers, refining product roadmaps, and ensuring successful product launches.

Lead a team in defining and building NVIDIA's self-driving software. Manage technical product and program execution for autonomous vehicle projects.

The role involves defining and executing the R&D Quality strategy for Electronic Systems and AI, modernizing quality practices, and engaging cross-functional teams to ensure compliance and efficiency in technology initiatives.

The Research Scientist will focus on optical inspection technologies, performing simulations and measurements, and communicating with teams to enhance semiconductor wafer processing.

Lead research on AI interactions, design new job architectures, align organizational behaviors with AI transformations, and publish frameworks for effective AI use.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

The role involves leading Technical Program Management for Adobe's GenAI initiatives, coordinating cross-functional teams, ensuring efficient execution, and managing cloud migration projects.

The Product Manager Intern will support product lifecycle management by conducting market research, collaborating with engineering and UX/UI teams, and monitoring product performance to identify opportunities for new cybersecurity features.

Lead CCaaS workstreams by managing entire delivery lifecycle, client partnerships, and cross-functional teams to ensure operational excellence and project success.

As RFM AI Governance Manager, you'll develop AI governance frameworks, conduct risk assessments, mentor staff, and navigate the regulatory landscape, focusing on compliance and strategic planning.

As a Digital Contact & Services Manager, you'll lead AI solutions in contact centers, mentor staff, manage client relationships, and ensure strategic plan execution while maintaining high ethical standards.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

The Director of Outbound Product Management will lead a team to drive AI product strategies and market adoption, collaborate with cross-functional teams, and promote public sector AI innovations.

The Applied Researcher II will lead high-impact AI research, collaborate with cross-functional teams to develop AI models, and drive innovations in customer experiences at Capital One.

The VP of Product Management will define product strategy for AI Application Development, mentor teams, drive innovation, and prioritize product backlogs, ensuring effective execution and user adoption.

The Director of Product Management will establish product vision, lead strategy development, focus on customer experience, and ensure product profitability. This role involves working with cross-functional teams and maximizing operational efficiency.

Lead research in generative AI, execute projects, mentor interns, publish findings, and partner with engineering teams to enhance products.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

The Senior Lead AI Engineer will build AI systems to enhance banking practices, collaborating with diverse teams on AI product development.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Manage the development and validation of AI models, lead projects, provide strategic client interaction, and foster team improvement.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

The Lead Software Engineer will build AI-integrated systems for healthcare delivery, focusing on clinical summarization, patient risk prediction, and AI-powered coordination within a fast-paced team environment.