Artificial Intelligence Jobs in San Jose, CA

Drive the development of AI kernel generation products, working with internal and external teams to optimize workflows and enhance performance of AI deployments.

The role involves supporting cloud data platforms, assisting with BI delivery, contributing to CI/CD workflows, and enhancing platform operations.

The role involves architecting and leading the development of a neuromorphic AI execution stack, focusing on firmware, runtime, and performance infrastructure while collaborating with multiple teams for integration and optimization.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.

As a Senior Software Engineer, you will design and implement coding agents and distributed systems, optimize performance, and establish engineering standards in AI development.

The Sr Lead Product Manager for AI at PayPal drives product strategy, architecting AI roadmaps, overseeing profitability, and collaborating with cross-functional teams to enhance product offerings and customer experiences.

The Regional Sales Manager leads revenue strategy for AI Native across Western US, managing a team of 8 Account Executives, and driving regional performance, pipeline generation, and strategic growth.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Join Cadence as a Software Engineer II to enhance the Virtuoso platform's routing capabilities, leveraging machine learning and advanced algorithms in a collaborative environment.

This role involves leading research and technology development in AI/ML for semiconductor equipment, focusing on autonomous operation, software/hardware systems, and knowledge management.

The AI Research Engineer designs and optimizes AI systems for enterprise automation, collaborating across teams to improve efficiency and decision-making.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

The role involves leading AI networking systems development, managing customer engagements, and collaborating on product architecture with a focus on performance and reliability.

Design and implement compiler IR, programming models, and optimizations for GPU-based AI inference; define public APIs; collaborate with hardware and framework teams to optimize performance, kernel generation, and build-time for Ahead-of-Time and Just-in-Time deployments.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

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 role involves researching AI system architecture, developing performance models, analyzing AI workloads, and guiding design decisions while collaborating across teams.

As an intern, you will research and develop AI/ML algorithms for computer graphics and robotics in 3D animation, collaborating with a multidisciplinary team.

Seeking a Principal AI System Architect to lead research and design next-gen AI system architectures, optimizing performance for AI workloads with a focus on memory capacity and communication.

The role involves researching AI system architecture, developing performance models, making design decisions, and leading architecture strategies. It requires collaboration across teams to evaluate AI workloads and scalability issues.

The Staff AI Development Engineer will design agentic workflows, lead fullstack implementation of applications, mentor teams, and optimize AI-driven automation for various business units.

The Staff AI Development Engineer will design agentic AI solutions, implement fullstack applications, mentor teams, and optimize AI workflows and architecture in collaboration with infrastructure teams.