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.

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

Develop AI agents and applications, manage backend and frontend technologies, integrate complex data systems, and enhance user experience across CoreWeave's platforms.

The Sr. Staff Outbound Product Manager leads market success for an AI Assistant portfolio, focusing on customer insights, product readiness, adoption, and cross-functional collaboration.

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

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

The Senior AI/ML Engineer will enhance developer productivity by improving Python workflows, leading projects, mentoring engineers, and driving best practices.

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.

Lead and develop advanced machine learning models for autonomous driving, collaborating with teams, and driving technical initiatives in a hybrid work environment.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

Design and operate production-grade agentic AI systems, focusing on multi-agent systems, enterprise reasoning, safety, and model integration.

Lead the strategy for GM's mobile conversational AI experience, defining customer interactions via natural language across iOS and Android applications, partnering with various teams to ensure a cohesive user experience, setting success metrics, and continuously improving based on user feedback and metrics.

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.

The Chief of Staff partners with the SVP/GM to oversee initiatives, drive alignment across functions, and manage special projects related to AI and employee experience.

The role involves scaling and optimizing a generative AI product, designing scalable APIs, improving system performance, and collaborating with cross-functional teams.

The Senior Manager of Embodied AI will oversee AI/ML engineering teams, manage operational excellence in data scaling for autonomous vehicles, and collaborate across teams to improve performance and innovation in AV technology.

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

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

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.

Lead the development of generative AI products, collaborating with teams to innovate enterprise solutions and deliver impactful user experiences.

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.

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

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.