Artificial Intelligence Jobs in San Jose, CA

Develop cutting-edge AI and ML solutions for aerospace applications, collaborate with researchers, and transition prototypes into production-ready systems while staying updated with industry innovations.

The Principal AI Research Engineer will develop innovative AI solutions, implement ML algorithms, benchmark techniques, and transition research into production.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

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

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

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

The role involves creating technical content for NVIDIA's AI platform, collaborating with engineers, and engaging with the developer community on AI topics.

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

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

The job involves developing core libraries for agent-based applications, optimizing performance, and creating tools for scalable deployment of autonomous systems.

The Data Analytics & AI Pre-Sales Engineer will lead opportunities in data and AI, design solutions using Microsoft Fabric, and guide clients on AI initiatives.

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

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.

Architect and optimize timing and power implementation flows for ASIC/FPGA designs. Lead STA and UPF-based power flows, library generation/characterization, automation infrastructure, and apply ML/AI to improve flow efficiency, debug productivity, and signoff QoR while collaborating across PD, STA, library, and CAD teams.

As Principal Product Manager, you will define the vision and strategy for personal AI agents, prototyping new capabilities and partnering with cross-functional teams to drive product development and success metrics for Expedia Group.

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 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.

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

The Principal Product Manager will establish the AI product vision and strategy at PayPal, leading cross-functional teams to create innovative and trustworthy AI products that transform financial services globally.

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

Manage the development and implementation of NVIDIA AI Software Solutions projects, leading multi-functional teams and ensuring successful delivery aligned with client needs.

As a Senior AI Frameworks Engineer, you'll develop high-performance APIs and infrastructure for GPU programming, ensuring a seamless developer experience in AI and deep learning contexts.

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.