Artificial Intelligence Jobs in San Jose, CA

The Director of AI Product Management at WatchGuard will drive the strategy and execution of an AI-powered action layer, manage the product roadmap, collaborate cross-functionally, and ensure value delivery to MSP partners.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

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

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.

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.

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.

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

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 Senior AI Systems Performance Engineer, optimize and scale foundation models, enhance performance across various system layers, and deliver high-performance AI applications.

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.

Lead the architectural design for AI hybrid inference systems, mentor team, and guide development of high-availability orchestration engines while driving innovation.

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.

The AI Research Scientist will develop generative models for scientific discovery, mentor junior team members, and work collaboratively to innovate AI applications in materials science.

Design, architect, and scale cloud backend infrastructure for real-time media and sensor data streaming. Own reliability and throughput SLAs, collaborate with AI teams, and mentor engineers.

This role involves owning the architecture and design of complex SoC subsystems, leading cross-functional collaboration, ensuring design quality, and mentoring senior engineers.

The Senior Director of AI Technical Programs leads AI initiatives for Process Support Engineers, ensuring effective tool integration and knowledge access. Responsibilities include managing technical programs, stakeholder alignment, AI solution development, and team leadership for improved operational efficiency.

The role involves developing cloud-native applications, defining cloud architecture, building data engineering pipelines, and ensuring security practices across AI/ML solutions and big data integrations.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.