Artificial Intelligence Jobs in Sunnyvale, CA

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

The role involves optimizing a Generative AI conversation engine and API design for enterprise solutions, collaborating with teams to enhance system scalability and performance.

As a Software Engineer, you'll build AI agent systems, implement AI algorithms, collaborate across teams, and mentor other engineers, focusing on enhancing the AI Assistant platform.

The Staff AI Engineer will build and deploy AI/ML solutions for simulations, working with teams to evaluate and implement AI tools. Responsibilities include leading projects, fine-tuning models, and optimizing performance across various applications in engineering.

As a Software Engineer, you'll contribute to developing AI agent systems, implementing algorithms, and enhancing products while collaborating with experts and mentoring other engineers.

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

The role involves optimizing large-scale ML infrastructure for autonomous vehicles, conducting analyses, collaborating with teams, and improving system performance.

Senior individual contributor designing and deploying onboard ML solutions for autonomous driving. Develop models (detection, tracking, trajectory, safe AI), build training pipelines and deployment tooling, translate research into production, collaborate cross-functionally, and mentor engineers.

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.

Design and build scalable microservices and platforms for AI security event processing, mentoring team members, and ensuring operational excellence.

The Sr. UI Engineer will design high-performance web applications for AI security insights, mentoring team members and collaborating across teams while maintaining high standards of quality and performance.

As a Senior Staff Software Engineer, you will lead the design and implementation of AI-driven product features, collaborate cross-functionally, and innovate using Generative AI for practical enterprise solutions.

As a Principal Product Manager, guide development of AI-powered employee experiences, collaborating with teams to create impactful products, translate user feedback, and stay updated on AI trends.

Lead the development and deployment of AI/ML solutions at GM, guiding strategic direction while executing technical projects and mentoring teams.

The AI Infrastructure Product Marketing Manager leads the product marketing efforts for CoreWeave's AI cloud infrastructure, developing key narratives, messaging, and GTM strategies. Responsibilities include customer engagement, creating marketing materials, measuring impact, and collaborating with sales and engineering teams to drive adoption.

The Specialist Seller will drive go-to-market execution for AI Products, architecting deals, building partnerships, and developing success metrics for customer adoption while collaborating with teams for growth. Requires extensive experience in enterprise sales and AI-based selling.

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 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.

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.