Artificial Intelligence Jobs in San Jose, CA

Develop AI models for circuit design, perform circuit simulations, run optimization algorithms, and collaborate on projects at Samsung Display Lab.

The role involves collaborating with customers to enhance AI workloads, leading technical engagements, and developing AI solutions, while optimizing performance on NVIDIA's GPU technologies.

Develop advanced C++/CUDA libraries for AI storage infrastructure, work with Linux kernel internals, and optimize performance in data storage solutions.

The role involves managing AI-powered product strategies, collaborating with engineering and data teams, and ensuring successful product launches based on customer needs and market trends.

The FullStack Engineer will develop user interfaces and features for a B2B learning platform, ensuring compliance and interoperability while collaborating on product development.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

Internship focused on fine-tuning and optimizing large language models, involving hands-on research, design, implementation, and collaboration with experienced scientists.

The AI Scientist will adapt large language models for human interaction, design annotation processes, and contribute to pre-training efforts.

The Lead/Senior Software Engineer will architect and develop scalable AI tools, collaborate across teams, mentor juniors, and drive innovation in AI applications.

Lead the design and implementation of GPU compute clusters for AI and HPC workloads, managing infrastructure and optimizing performance.

As a Frontend Senior Software Engineer, you'll develop and implement features for Adobe's AI-focused applications, ensuring code quality while collaborating across teams.

Lead the design and delivery of user-facing AI features in Protegrity's products. Validate new features through market research, ensure compliance with security standards, and enhance user satisfaction.

The Sr. Machine Learning Engineer at Zscaler will build and implement AI features, design resilient microservices, and ensure operational excellence in digital experiences.

Design and build AI infrastructure for robust dataset generation and model evaluation, collaborating with research and autonomy teams.

The Distinguished Engineer will lead the architecture of AI-powered security solutions, focusing on large-scale data systems, security analytics, and influencing product strategy as a technical leader.

Develop infrastructure and tools to enhance Generative AI technologies, collaborate with cross-functional teams, and mentor junior team members.

Lead the development of FPGA design platform Quartus, delivering front-end EDA tools and enhancing FPGA design through AI technologies. Manage a large engineering team and promote innovation and technical excellence.

As an Investor for AI Tools, you will build AI systems to streamline data collection and improve decision-making through pattern recognition and strategic alignment with Samsung's business goals.

The role involves research on training models for web indexing. You'll apply your deep knowledge of search and transformer models in a product context.

The Sales Engineer role involves assisting the sales team by providing technical expertise, building solutions, and addressing customer challenges with Nanonets' AI/ML product.

Research scientist specializing in robotics and AI, focusing on developing algorithms, conducting research, and implementing learning-based manipulation and control methods.

The role focuses on researching and developing AI-based methodologies and simulation tools for autonomous vehicle algorithms, ensuring effective evaluation and scenario generation.

As a Solutions Architect, you'll assist customers with implementing AI and ML solutions, engage directly with clients, and drive technology solutions based on NVIDIA's offerings.

The role involves creating demos, engaging with the Jetson community, conducting competitive analysis, and benchmarking software performance.