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 AI Product Portfolio Director will oversee the integration of AI into marketing, ensuring strategic execution and measurable outcomes. Responsibilities include roadmapping AI tools, enhancing marketing processes, and driving organizational AI fluency.

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.

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.

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.

The role involves designing AI agents, building intelligent search capabilities, collaborating on scalable solutions, and delivering high-quality products while mentoring colleagues.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

In this role, you will develop and maintain CI/CD pipelines, collaborate across teams to implement best practices, and troubleshoot deployment issues in a hybrid work setting.

Design and maintain scalable authentication and authorization services. Implement identity protocols and ensure secure user access for the AIDR platform.

The Software Test Engineer tests software, logs defects, collaborates with teams, and enhances test strategies and processes to ensure high-quality project delivery.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.