Artificial Intelligence Jobs in Sunnyvale, CA

The AI R&D Engineer Coop will design, develop, and deploy AI/ML models, optimize existing models, and implement machine learning frameworks.

This role involves owning the architecture and design of complex SoC subsystems, leading cross-functional collaboration, ensuring design quality, and mentoring senior engineers.

The Investor role at Samsung Next focuses on sourcing and evaluating early-stage investments in AI and robotics. Candidates will develop investment skills under experienced guidance, participate in deal discussions, and support startup founders. A technical background in related fields is essential, along with strong analytical and communication skills.

The Senior Director of AI Technical Programs leads AI initiatives for Process Support Engineers, ensuring effective tool integration and knowledge access. Responsibilities include managing technical programs, stakeholder alignment, AI solution development, and team leadership for improved operational efficiency.

The role involves developing cloud-native applications, defining cloud architecture, building data engineering pipelines, and ensuring security practices across AI/ML solutions and big data integrations.

The Director of AI Products leads the product strategy and execution for AI-native products, overseeing product managers and collaborating with technical teams to develop innovative solutions for customer experience automation.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

This role focuses on driving adoption and alignment for ODM partners, supporting data center delivery, and incorporating partner feedback into product strategy.

The role involves leading AI networking system transformations, collaborating with teams on product features, and managing customer engagements for innovative networking solutions.

The role involves researching AI infrastructure, analyzing performance, building simulations, supporting products, and developing scalable AI solutions.

As a Senior AI Platform Engineer, you will architect AI-driven systems, develop CI/CD pipelines, and optimize infrastructure for AI workflows.

The role involves building AI tools and coding agents, fine-tuning LLMs, and collaborating on product features to support CUDA developers at NVIDIA.

Drive adoption of AI inference platform across large enterprises, own sales cycle, lead technical evaluations, engage executive stakeholders, and shape GTM strategy.

Develop and implement manufacturing test solutions for high-performance AI servers, focusing on automated testing, collaboration with teams, and debug analysis.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

Lead a team in advancing large-scale machine learning through research in efficiency and optimization, particularly for LLMs, while collaborating with engineering and product teams to implement innovations into production.

Develop advanced algorithms for AI model training, conduct research in robotics, and implement control algorithms for manipulation in robots.

Seeking a PhD research intern to develop algorithms for robot manipulation, working on AI models and collaborating in a robotics startup environment.

Develop full-stack solutions for a robot management portal, including user authentication and data management, leveraging cloud-based technologies.

The Senior Fullstack Engineer will advance the crewAI+ platform using Ruby, Python, and React, contributing to both backend and frontend development, collaborating with teams, and engaging with the developer community.

The AI Research Director will lead the applied AI research agenda while managing a team of researchers to develop advanced capabilities in multiphysics and spatial reasoning. They will also collaborate directly with the CEO and nurture connections within the AI ecosystem.