Artificial Intelligence Jobs in Sunnyvale, CA

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

Conduct original research in generative AI, implement and train large-scale models, collaborate with teams, and transfer technology to products.

As a Machine Learning Intern, you will develop and optimize computer vision algorithms, collaborate on AI solutions, and design backend services for generative AI applications.

Lead architectural decisions and mentor engineers in developing scalable software solutions for the GenStudio team, driving innovation and technical strategy.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

Design and build scalable AI infrastructure, improve architecture and performance, collaborate with teams, and contribute to advancements in AI technologies.

The AI GTM Engineer will integrate and automate marketing and sales workflows, utilizing AI tools to enhance productivity and data insights. This role supports BDR outreach and operationalizes intent and account data for intelligent growth.

Adobe seeks a Senior Platform & AI Engineer to build solutions using cloud technology, focusing on AI systems and integrations for enterprise customers, emphasizing automation and collaboration.

As a Product Management MBA Intern, you'll collaborate on product requirements, translate insights into user stories, and drive AI product strategy at NVIDIA.

As an AI Data Engineer Intern, you'll collaborate with engineers to develop data pipelines, support AI-based marketing tools, and analyze data to enhance marketing outcomes.

The role involves deploying AI solutions, guiding customer discussions on infrastructure, and building demonstrations to address business needs, requiring 5+ years of experience.

The Sr. Director of AI Integration will drive AI/ML solutions across the organization, ensure integration into systems, and manage stakeholder engagement.

Lead strategic engagements across NVIDIA's ecosystem to develop AI infrastructure, collaborating with partners to align strategies and drive value creation.

Lead full-cycle recruiting for AI/ML roles, partner with engineering teams, and drive strategic hiring plans while championing diversity and delivering an exceptional candidate experience.

Lead product marketing strategy for NVIDIA DGX platform, manage a team, ensure cross-functional alignment, and influence senior stakeholders.

The Research Engineer will advance AI and biology research by implementing models, driving projects, and collaborating with teams to solve biological problems.

Design, build, and operate the orchestration layer for agentic AI in a security platform. Responsibilities include developing reliable services and optimizing performance while collaborating with cross-functional teams.

As a Frontend Senior Software Engineer, you'll develop and implement features for Adobe's AI-focused applications, ensuring code quality while collaborating across teams.

The Sales Engineer role involves assisting the sales team by providing technical expertise, building solutions, and addressing customer challenges with Nanonets' AI/ML product.

Lead the development of FPGA design platform Quartus, delivering front-end EDA tools and enhancing FPGA design through AI technologies. Manage a large engineering team and promote innovation and technical excellence.

The role involves research on training models for web indexing. You'll apply your deep knowledge of search and transformer models in a product context.

As a Solutions Architect, you'll assist customers with implementing AI and ML solutions, engage directly with clients, and drive technology solutions based on NVIDIA's offerings.

Lead the design and implementation of GPU compute clusters for AI and HPC workloads, managing infrastructure and optimizing performance.

Lead the design and delivery of user-facing AI features in Protegrity's products. Validate new features through market research, ensure compliance with security standards, and enhance user satisfaction.