Artificial Intelligence Jobs in San Jose, CA

The Senior Product Manager for Agentic AI will build a platform for coordinating AI agents, improving enterprise efficiency, and enhancing decision-making through agentic systems.

Lead end-to-end silicon diagnostic pipeline using AI/ML to analyze scan failures and process data, build models for failure classification and predictive yield, orchestrate AI-based EDA tools, and drive cross-functional root-cause analysis to improve yield and time-to-market.

As Director of Machine Learning Science at Expedia, you'll lead Content AI strategy, oversee AI innovation, and build a world-class team to enhance content generation and relevance across platforms.

The role involves leading product engineering and manufacturing execution across North America, ensuring quality and performance of NVIDIA products by troubleshooting, coordinating with manufacturers, and analyzing factory data.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Develop AI systems for efficient inference, design and optimize kernels, and build domain-specific compilers and runtimes while collaborating with engineers.

Develop groundbreaking techniques to accelerate AI workloads on NVIDIA GPUs. Optimize performance of complex AI systems and collaborate with experts in the field.

The Director of AI Workflow Transformation will lead the development of AI-driven workflow solutions, partnering with various teams to enhance collaboration and efficiency across the organization, ensuring measurable business impact and adoption.

As Director of AI Change Enablement at eBay, you will lead the AI transformation strategy, drive change management, and ensure employee adoption of AI initiatives across the enterprise, acting as a strategic partner to leadership.

Lead the development of large-scale video foundation models for humanoid autonomy, focusing on training strategies and model evaluation for real-world applications.

Develop learning systems using reinforcement learning for autonomous robots, focusing on policy optimization and real-world application.

The Helix AI Engineer, Modeling will design core model architectures for AI systems, focusing on multimodal inputs and improving model capabilities for humanoid robotics.

The Helix AI Engineer will design, train, and deploy large-scale generative models, focusing on diffusion modeling for robots, while enhancing robot autonomy through perception and world modeling.

As a Helix AI Engineer focused on pretraining, you will design and train foundation models using multimodal data, improve generalization strategies, and optimize distributed training pipelines.

Lead and architect AI initiatives, develop large-scale AI/ML systems, mentor teams, and drive engineering excellence across Altera.

Design, develop, and optimize algorithms for oneDNN targeting Intel processors and graphics. Conduct performance analysis and contribute to low-level tuning and optimization efforts, collaborating with cross-functional teams and engaging with the open-source community.

Directs and manages design verification engineers for Subsystem and SoC design, enhances verification processes, and ensures security compliance while leading team performance.

As a Senior AI Developer Technology Engineer at NVIDIA, you'll design and optimize AI and HPC workloads, solve performance issues, and influence future hardware and software design.

The NCX Engineer will develop custom AI solutions, provide technical support, manage AI workloads, and optimize performance on NVIDIA platforms.

The Research Scientist will develop pioneering generative AI algorithms, design data processing pipelines, and enhance physical AI with physics simulations. The role involves collaboration and innovation that impacts real-world systems.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

Lead the technical strategy for AI/ML solutions in cloud security, managing the AI Transformation Roadmap and product deployment.

The Senior ASIC Design Verification Engineer leads verification planning and execution for AI chip designs, collaborates with cross-functional teams, and innovates verification methodologies.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

Lead the development of AI applications, ensuring high reliability and performance while collaborating with teams to identify use cases and implement scalable solutions. Drive AI methodologies, governance, and continuous improvement in the organization.