Artificial Intelligence Jobs in Sunnyvale, CA

This role involves developing and implementing testing frameworks for ensuring reliability and performance of AI security controls across platforms. The engineer will expand test coverage and contribute to quality metrics for AI models.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The role involves leading security architecture and development for AI Platform, focusing on cryptography, key management, and machine identity. Collaboration across teams is essential to deliver secure solutions.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

Lead full-cycle recruiting for software and research roles, partner with hiring managers to build sourcing strategies and talent pipelines, screen candidates, manage interviews and offers, use recruiting metrics and ATS, and promote DEI in hiring.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Develop and deploy machine learning solutions for autonomous driving, collaborating with cross-functional teams and mentoring engineers for technical excellence.

The Senior Patent Counsel will manage NVIDIA's patent portfolio, collaborate with internal clients, and guide patent-related legal matters and strategies.

The Patent Counsel will protect NVIDIA's technology investments, collaborate with internal clients on patent strategy, manage outside counsel, and develop patent portfolio strategies. Requires a strong legal background in patent law and technology.

Lead product marketing for CoreWeaves Agentic AI platform: define positioning, messaging, GTM programs, sales enablement, partner GTM, customer evidence, thought leadership, and market intelligence to drive adoption of agentic AI infrastructure.

The Staff Product Manager will own the strategy for AI-enhanced developer tools, driving adoption, coordinating across teams, and defining success metrics for AI workflows in the automotive sector.

Lead execution of defense-focused technical programs, managing cross-functional coordination between engineering, product and operations to ensure timely delivery and compliance with government requirements.

Manage complex programs for developing customer-facing geospatial technologies. Oversee the program lifecycle, coordinate with teams, and ensure successful deployment.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Lead end-to-end machine learning solutions for autonomous driving, mentor engineers, design advanced models, and ensure safety and reliability in diverse scenarios.

Develop and deploy machine learning solutions for autonomous vehicles, mentoring engineers and collaborating on model implementations.

Lead the design, implementation, and deployment of scalable ML infrastructure for autonomous driving. Drive technical projects, mentor others, and collaborate with teams to enhance ML workflows.

As a Staff ML Infra Engineer, you will develop and deploy offboard machine learning solutions for autonomous vehicles, ensuring model integration and performance across teams. You'll build ML infrastructure, implement CI/CD pipelines, support data curation, and mentor engineers.

As a Senior Associate, you'll leverage Dynamics 365 applications to craft solutions, analyze complex problems, mentor team members, and manage project tasks tirelessly while strengthening client relationships.