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.

As an AI Engineer, you will design and implement LLM applications while evaluating GenAI workflows, collaborating with teams to enhance production systems and tools.

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 Senior Software Engineer will scale and optimize the Generative AI product infrastructure, improve performance, collaborate with teams, and implement best coding practices to enhance the conversation engine for enterprise solutions.

Design, build, and productionize scalable agentic AI systems (agent orchestration, sandboxed execution, latency optimization, memory, multimodal I/O). Implement frontier ML/LLM architectures, improve platform reliability, mentor engineers, and collaborate across ML, security, product, and UX teams.

The Director of Product Design for AI Transformation leads teams to create AI-powered design solutions, partnering with clients to ensure effective software deployment and user adoption while mentoring designers and communicating vision at executive levels.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

The Senior Product Manager will define product strategy and vision for AI-driven solutions in cloud management focused on private 5G, driving product lifecycle from ideation to launch, translating market needs into requirements, and collaborating cross-functionally.

Lead a team building AI/ML solutions for vehicle motion control and estimation. Oversee architecture, development, deployment, and cross-functional collaboration; ensure timely delivery, technical mentorship, agile practices, and alignment with business and safety requirements.

In this role, you will optimize and scale the Generative AI product, enhance conversational features, and collaborate with various teams to innovate solutions while ensuring high standards of code quality.

Lead design, development, and production deployment of scalable AI agents and agent platforms. Drive architecture, technical strategy, code and system reviews, mentor teams, and resolve performance and architectural challenges.

Lead design, implement, and deploy scalable AI agents and infrastructure. Drive technical strategy, mentor engineers, collaborate cross-functionally, perform system and code reviews, and resolve architectural and performance challenges.

The Senior AI/ML Tooling Engineer develops tools for optimizing ML models and collaborates across various AV teams to enhance performance analysis and model architecture.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

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.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

As a Software Development Engineer, you will enhance sensor features for security in cloud environments, focusing on performance and reliability through collaboration and best practices.

The AI Growth Product Manager will strategize and grow AI agents at CoreWeave, collaborating with various teams to enhance business operations through AI integration and development.

Lead the design and implementation of AI-native solutions for enterprise clients, driving ROI and enhancing workflows through intelligent automation.

The Senior Product Manager will oversee the full product lifecycle for Level 4 autonomous trucking solutions, collaborating with engineering and stakeholders, ensuring alignment with customer needs and program constraints.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Lead architecture, design, and deployment of low-latency edge AI for vehicle cabin features. Optimize ML models for automotive compute, integrate with AAOS/QNX, mentor senior engineers, set engineering standards, and prototype new AI capabilities.

The Process Engineer IV will design and optimize manufacturing processes, leverage AI/ML for data analysis, and mentor less experienced engineers.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

As a Senior Software Engineer, you will lead projects involving Machine Learning and AI technologies, collaborate with cross-functional teams, and design user-centric features to enhance enterprise automation.