Artificial Intelligence Jobs in Santa Clara, CA

The Solutions Architect will design and build enterprise AI solutions, aid in adopting NVIDIA AI technologies, and work on deep learning applications for customers across industries.

Develop and optimize high-performance Vision AI systems, pipeline implementations, and collaborative projects, leveraging computer vision and deep learning for real-world applications.

Senior QA Automation Engineer responsible for designing and executing manual and Python-based automated tests for a Network AI platform. Simulate complex multi-vendor network topologies, validate AI/ML correlation engines, WebUI, REST APIs, CLI, syslog processing, NLP pattern recognition, multi-cloud and ITSM integrations, and maintain PyTest-based automation frameworks while reporting and verifying bug fixes across releases.

Seeking a Machine Learning Compiler Engineer with expertise in compiler technologies, machine learning, and software engineering to innovate in development tools and AI solutions.

The role involves architecting and optimizing AI inference systems, developing GPU kernels, and contributing to benchmark methodologies, requiring substantial experience in performance engineering and various programming technologies.

The AI Hardware Architect will analyze and design next-generation AI hardware, focusing on microarchitecture, connectivity, and system performance for GPUs and CPUs.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

The role involves developing AI models for fault-tolerant quantum systems, conducting research in quantum computing, and collaborating with teams to integrate AI solutions into quantum hardware.

The role involves developing marketing strategies for NVIDIA's AI products, creating marketing materials, and engaging with developers and stakeholders to communicate product value.

The intern will design and implement AI-driven automation workflows to enhance the silicon testing process, collaborate with engineers, and document automation recipes.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

Lead and inspire a small team in AI research focused on autonomy and knowledge capture related to semiconductor equipment. Responsible for project roadmap and development of software modules.

The role involves leading product strategy for search at eBay, improving user experience through AI-driven features, and working with cross-functional teams.

As Principal Product Manager, you will define the vision and strategy for personal AI agents, prototyping new capabilities and partnering with cross-functional teams to drive product development and success metrics for Expedia Group.

Develop and manage a Machine Learning platform, implementing user interfaces, ensuring security, optimizing performance, and collaborating with data scientists.

Design and scale GenAI-powered product marketing capabilities: codify PMM methodologies, build agentic workflows and prompt systems, prototype with Python/Streamlit, and partner cross-functionally to productionize AI-enabled GTM, segmentation, and messaging workflows.

Design, develop, and maintain generative AI and cloud-based AI solutions using Microsoft Azure and Power Platform tools. Collaborate with cross-functional teams to gather requirements, build scalable AI applications, deploy and manage models with Azure Machine Learning, test/debug, document designs, and provide training and user support.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Design, build, and operate cloud-native infrastructure and CI/CD/GitOps for AI/LLM applications across AWS and Azure. Develop Python services, IaC (Terraform/CloudFormation), container orchestration, monitoring, and platform tooling. Partner with ML/product teams, participate in on-call rotations, and promote secure, scalable AI-native development practices.