Artificial Intelligence Jobs in Santa Clara, CA

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

The Data Scientist will develop analytical models and AI solutions, collaborate with teams, and enhance business operations with data insights.

As an intern, you will research and develop AI/ML algorithms for computer graphics and robotics in 3D animation, collaborating with a multidisciplinary team.

The Director of AI will lead AI and data engineering teams, define and execute AI strategy, and ensure effective partnership across functions, focusing on scalable AI solutions and responsible AI practices.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

The Physical Design Engineer will lead efforts in solving physical design challenges, improve RTL-to-GDS methodologies, and integrate AI/ML solutions into CAD flows, focusing on performance and runtime improvements.

Integrate and maintain commercial AI tools and LLM agents into VLSI design flows, coordinate multi-agent systems, optimize performance and QoR, deploy AI agents and chatbots, preprocess data, evaluate solutions, and train end-users to improve design productivity.

The job involves developing core libraries for agent-based applications, optimizing performance, and creating tools for scalable deployment of autonomous systems.

Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.

The AI/ML Engineer designs and operates a production-grade orchestration platform, focusing on multi-agent workflows, LLM integration, and backend systems. Responsibilities include managing cloud-native infrastructure, ensuring system reliability and observability.

Lead and manage AI software product launches, collaborating with cross-functional teams and ensuring high-quality delivery while utilizing program management best practices.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Lead the design and implementation of runtime systems for an AI accelerator, overseeing architecture, performance tuning, and team mentorship.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

Lead AI feature design and delivery, build large-scale ML systems, mentor engineers, and define best practices across the engineering organization.

Designs and oversees development of Intel GPU AI software across the entire stack, ensuring performance, stability, and ease of use, while mentoring technical leaders and aligning technical strategies with organizational goals.

Lead UX and product design for a next-generation surgical data and AI platform. Drive user research, define multimodal UX paradigms, build design systems, lead a team of designers, and partner with product, engineering, data science, and clinical stakeholders to deliver compliant, secure, enterprise-scale AI-enabled solutions.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

Lead and mentor a team of 4-8 engineers to build and evolve AI developer tools for local and cloud GPU workflows. Define roadmaps with product partners, manage cross-team dependencies, drive technical execution, improve engineering efficiency via tools and automation, and ensure security and compliance.

Design and implement APIs, CLIs, and application logic for AI developer tools. Drive tech stack decisions, ensure cross-team consistency, lead CI/test automation, and collaborate with UX, frontend, and AI experts. Support, maintain, and document software.

The role involves deploying AI networking solutions in data centers, driving architectural decisions, troubleshooting network issues, and collaborating on customer projects for NVIDIA's technology solutions.

Build and deploy production AI/LLM systems and agentic workflows for engineering productivity, diagnostics, search, and automation. Design retrieval, tool integration, evals, failure handling, and reusable skills; collaborate with infrastructure and domain teams to monitor and improve systems in production.

The AI Assistant Product Manager is responsible for discovery, incubation, and shaping AI product propositions at Amadeus, focusing on delivering exceptional travel experiences through AI Assistant platforms.

Designs and implements generative AI agents and platforms using local and cloud LLMs. Builds agent orchestration, RAG workflows, vector search integrations, and production-quality software (implementation, testing, debugging, documentation, deployment). Collaborates with stakeholders to deliver AI-powered solutions.

Develop, implement, and benchmark AI and signal-processing algorithms on Intel's next-generation neuromorphic hardware. Validate neuromorphic SDK with real-world workloads, gather metrics, propose software improvements, and present findings to internal teams and collaborators. Work targets edge computing, autonomous systems, and real-time applications.