Artificial Intelligence Jobs in Santa Clara, CA

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.

The AI R&D Engineer Coop will design, develop, and deploy AI/ML models, optimize existing models, and implement machine learning frameworks.

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.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

As a Staff AI Solutions Architect, you will design, implement, and deploy AI solutions for cybersecurity, ensuring performance and security in production environments while mentoring engineers and collaborating across teams.

This role focuses on driving adoption and alignment for ODM partners, supporting data center delivery, and incorporating partner feedback into product strategy.

The role involves leading AI networking system transformations, collaborating with teams on product features, and managing customer engagements for innovative networking solutions.

The role involves researching AI infrastructure, analyzing performance, building simulations, supporting products, and developing scalable AI solutions.

As a Senior AI Platform Engineer, you will architect AI-driven systems, develop CI/CD pipelines, and optimize infrastructure for AI workflows.

The role involves building AI tools and coding agents, fine-tuning LLMs, and collaborating on product features to support CUDA developers at NVIDIA.