Artificial Intelligence Jobs in San Jose, CA

As a Solutions Architect at NVIDIA, you will lead technical engagements for AI solutions, working with customers to optimize AI models and ensure deployments are successful.

The role involves advancing compiler technologies and machine learning solutions, requiring extensive experience in software engineering, compiler design, and various ML technologies.

As a Senior AI Workflow Engineer, you'll enhance AI adoption through automation tools, develop predictive models, and improve software development workflows.

The Senior Architect will enhance AI-assisted coding practices, improve internal tools, and collaborate with teams on AI technology implementation.

As an AI Engineer, you will design and build AI solutions, develop multi-agent systems, integrate APIs, and work within a high-caliber team.

Develop AI performance tools, conduct performance studies, automate data analysis, and support GPU performance analysis for AI workloads.

As a Senior Software Engineer, you'll design and implement scalable cloud-based systems, improve features, and ensure security and performance for extensive AI workloads.

Lead innovative design initiatives targeting enterprise AI projects, mentoring other designers and promoting user-centered design to deliver impactful solutions.

The Manager, Forward Deployed AI Engineer will lead and mentor a team of engineers to deliver GenAI-powered solutions, ensuring engineering excellence and customer engagement. Responsibilities include team leadership, customer engagement, technical delivery, and fostering a culture of innovation.

Lead engineering initiatives in Responsible AI, collaborate on bias mitigation in ML applications, mentor engineers, and define technical strategy.

Lead the design and implementation of AI solutions for SAP, optimizing processes, ensuring system integrity, and collaborating with cross-functional teams.

Lead the development of AI applications, collaborate with teams to translate research into products, and drive impactful solutions in software and AI.

Lead strategic technical programs with Cloud Service Providers, engage in hands-on technical projects, and ensure successful delivery of AI infrastructure solutions.

The role involves conducting research at the intersection of AI and biology, focusing on generative AI and developing deep learning models. Candidates should have expertise in software engineering practices, industry experience, and contributions to high-impact AI/ML research.

Lead AI/ML software projects, coordinate with engineers, improve processes, and develop AI applications. Collaborate with cross-functional teams for innovative solutions.

Lead AI/ML software projects, coordinating engineers, making technical decisions, and enhancing systems. Focus on AI solutions and Full Stack development with front-end and backend technologies.

Lead research on biological foundation models, collaborate with partners, design experiments, mentor researchers, and communicate outcomes in AI for biology.

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

Lead the design and implementation of AI-powered solutions, ensure quality and performance optimization, mentor engineers, and drive innovation across enterprise functions.

This role involves designing scalable datacenter solutions for AI systems, collaborating with experts, and crafting optimized cluster architectures for enterprise environments.

Manage AI infrastructure software development, mentor engineers, collaborate across teams, and develop scalable solutions for NVIDIA's LLM and AI applications.

Lead Developer Relations Managers to drive adoption of generative AI solutions. Engage with partners, co-design technical solutions, and support product launches. Requires extensive software development experience and technical collaboration across teams.

Design and build core components for engineering productivity platforms, focusing on AI-accelerated systems, software development, and overcoming engineering challenges.

The Staff Cloud Backend Engineer will enhance cloud infrastructure and system efficiencies while architecting scalable services, improving performance, and solving complex problems in cloud environments.

Research Scientists at X will apply AI/ML in diverse projects, focusing on LLMs and Transformers, and mentor team members while leading research initiatives.