Artificial Intelligence Jobs in San Jose, CA

The Agentic AI Systems Engineer will build infrastructure for GenAI applications, focusing on secure and scalable agentic systems, overseeing their lifecycle, and integrating AI capabilities into workflows.

The HPC AI Systems Administrator supports advanced system administration for HPC and AI environments, focusing on configuration, troubleshooting, and lab stability while mentoring junior staff and improving processes.

The Director of UX Research will lead a team at eBay, focusing on user research across various domains while enhancing research practices and collaboration with cross-functional teams.

The role involves architecting autonomous systems, enhancing customer experience through AI, optimizing operations, securing platform transactions, and mentoring team members in AI development.

Lead the Go-To-Market strategy for NVIDIA's AI software, engage with strategic partners, create enablement materials, and drive sales growth.

The Senior Solutions Architect will lead prototyping for AI partners, architect AI systems, resolve technical issues, and produce reusable assets to enhance enterprise AI adoption.

The Principal Software Engineer will lead security for autonomous agents, defining safety requirements, designing architectures, and ensuring compliance while partnering with cross-functional teams to enable developer velocity and robust safety measures.

This role involves leading AI prototyping efforts, technical advisory for AI partners, and delivering scalable enterprise AI systems while mentoring team members.

The Senior Math Libraries Engineer will design, develop, and optimize HPC software for AI and matrix operations, while leading projects and mentoring. Collaboration with various teams and technical leadership are key responsibilities.

Lead and architect AI agent applications by improving reliability, performance, and scalability. This role focuses on full-stack development, operational excellence, and collaboration across teams to build robust production systems.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

The Frontend Engineer will build interfaces for software delivery, collaborating with cross-functional teams, driving feature development, mentoring teammates, and advancing engineering standards.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Drive innovation for GPU clusters through platform management, identify gaps, develop projects, and engage with partners. Manage product roadmaps and self-service operations.

The Developer Relations Manager will support AI-native startups by providing technical guidance on NVIDIA technologies, fostering partnerships, and collaborating to solve engineering challenges.

Conduct original research in generative AI, implement and train large-scale models, collaborate with teams, and transfer technology to products.

The Solutions Architect will assist customers in adopting NVIDIA's GPU hardware and software, deploying AI/ML solutions, and engaging with technical teams and customers.