Artificial Intelligence Jobs in Sunnyvale, CA

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.

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.

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.

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.

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

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.

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 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 the go-to-market strategy for an AI-powered product, oversee product releases, collaborate with teams, and drive market positioning.

Lead product strategy and architecture for on-prem AI solutions, engaging with ISVs and OEMs to deliver integrated solutions and drive adoption within the partner ecosystem.

Lead AI strategy and initiatives for Samsung by creating growth roadmaps, identifying high-value use cases, and translating strategy into action, while fostering responsible AI practices and cross-functional collaboration.

Develop and optimize end-to-end data pipelines for autonomous driving, ensure data quality, and support model training through efficient data management processes.

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

Design, build, and maintain end-to-end integrations between Commures platform and third-party healthcare systems (EHRs/EMRs). Implement scalable, reliable solutions using LLMs and modern cloud tooling, ensure HL7/FHIR and HIPAA compliance, troubleshoot production issues, mentor junior engineers, and drive integration platform architecture and monitoring.

In this role, you will design and develop AI-native applications, managing the lifecycle of high-scale AI systems using LLMs and generative AI to enhance customer experiences.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The Software Engineer, AI will architect and maintain data pipelines, design distributed systems, build AI applications, and collaborate cross-functionally on ML-driven features.

The role involves creating scalable AI and ML solutions, collaborating with teams, analyzing data, and deploying models in production environments.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

The role involves architecting and leading the development of a neuromorphic AI execution stack, focusing on firmware, runtime, and performance infrastructure while collaborating with multiple teams for integration and optimization.

Manage and curate the AI models portfolio, collaborate on model launches, evaluate model quality, and drive product marketing initiatives.

This role involves improving AI and ML infrastructure for researchers by identifying bottlenecks, optimizing performance, and collaborating with diverse teams.