Artificial Intelligence Jobs in Santa Clara, CA

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Vice President for AI oversees the implementation of AI across Technology and Products, driving innovation while ensuring security and governance. They lead AI initiatives, develop strategic partnerships, and foster an AI-driven culture within the organization.

The Senior Software Engineer will enhance Arm's MCP server, develop technical content, improve evaluation frameworks, and drive developer enablement through AI agents integration.

The Patent Counsel will protect NVIDIA's technology investments, collaborate with internal clients on patent strategy, manage outside counsel, and develop patent portfolio strategies. Requires a strong legal background in patent law and technology.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Develop and deploy machine learning solutions for autonomous driving, collaborating with cross-functional teams and mentoring engineers for technical excellence.

The Senior Patent Counsel will manage NVIDIA's patent portfolio, collaborate with internal clients, and guide patent-related legal matters and strategies.

Manage major infrastructure projects in the energy sector focusing on electric transmission and substation upgrades, ensuring quality and stakeholder satisfaction.

Lead quantitative UX research for AI-driven products: define measurement strategy, design large-scale surveys and behavioral analyses, build psychometric and evaluation frameworks, write SQL/Python/R analyses, partner with AI/ML and product teams, and mentor researchers to embed human-centered metrics into AI development.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.

Design and build full-stack user interfaces and backend services, integrate AI/ML features (predictive maintenance, diagnostics), define APIs and reusable AI patterns, migrate monoliths to containerized microservices, and improve developer experience with agentic AI and CI/testing automation in a regulated product environment.

Lead end-to-end delivery of AI deployments for financial services clients: define features, translate business needs into technical specs, run agile sprints, drive adoption and change management, ensure measurable program outcomes, and expand commercial relationships while collaborating with engineers, product, design, and investment teams.

Lead architecture and integration of autonomous AI/LLM agent ecosystems with Salesforce Agentforce. Design scalable, secure API- and event-driven integrations, define agent governance, optimize integration patterns (REST, gRPC, event-driven, MCP), and document architectural decisions while collaborating with engineering, data, security, and platform teams.

As a Software Research Engineer, you will innovate solutions, lead projects in distributed systems, and interface with stakeholders. You'll write proposals and transition technologies to products.

Manage full desk recruiting for technical roles in AI and robotics, collaborating with hiring managers to optimize processes and enhance candidate experience.

The Data Infrastructure Engineer will design, build, and maintain data tools for robot data management, supporting AI researchers and ensuring optimal data solutions across storage and compute resources.

Lead strategic AI cloud sales initiatives, drive revenue growth, develop account strategies, mentor sales professionals, and engage with hyperscale cloud providers.