Artificial Intelligence Jobs in Sunnyvale, CA

The PR Specialist will execute PR plans, write and manage communications, handle media logistics, and track media coverage related to NVIDIA's AI products.

The role involves developing AI infrastructure for large-scale workloads, enhancing system reliability, and optimizing performance, requiring extensive experience in AI software systems.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

As a PR Manager at NVIDIA, you will craft compelling narratives, pitch stories, build media relationships, and implement strategic PR initiatives to enhance the company’s brand presence, especially in AI and accelerated computing.

Lead technical engagement for AI training and infrastructure at scale. Collaborate with engineering teams and customers to ensure successful deployment and optimization of AI/ML solutions.

Fine-tune and optimize LLMs (including multi-modal) for humanoid robots and autonomous vehicles; build scalable training and deployment pipelines; work on model efficiency (quantization, weight sharing), synthetic data generation, and cross-team product alignment.

The Staff Backend Engineer is responsible for designing and developing AI platforms, backend services, and APIs, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring engineers.

The Senior Applied AI Engineer will build AI-driven interactive product demos, collaborating with design and engineering teams to create intelligent multimodal experiences.

As an AI Algorithm Developer, you'll design and implement machine learning solutions for semiconductor processing, focusing on predictive models and data analysis.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

Design intuitive user experiences for Gemini AI, collaborating with engineers and product managers, and creating visually compelling interfaces and interactions.

The Senior Managing Counsel, AI Governance will oversee AI development governance, manage compliance with AI laws, and advise on privacy and cybersecurity standards. This role involves policy development, incident response management, and collaboration with cross-functional teams.

The Principal Machine Learning Engineer leads the deployment of multi-modal AI models on mobile platforms, setting technical vision and optimizing inference performance, while mentoring a team and collaborating cross-functionally.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

As a Product Manager at Glean, you will evaluate LLM models, define the product roadmap, manage relationships with providers, and drive customer adoption of AI capabilities.

Lead strategy and development of AI and technology products, managing cross-functional teams to enhance legal workflows and compliance standards.

Intern will design and optimize software to deploy large-scale AI models on production vehicles, profile and improve inference across compute, memory, and I/O, reduce latency and power use on embedded automotive platforms, and deliver production-ready, fleet-scalable performance optimizations.

Lead development of AI agent frameworks for Windows, optimizing performance, ensuring security, and collaborating with AI research teams. Mentor engineers and establish best practices.

The role involves assisting customers with AI solutions, collaborating with teams, analyzing deep learning performance, and leveraging NVIDIA technology.

Lead the development and optimization of AI agent frameworks on Windows for NVIDIA GPUs, ensuring privacy and security. Collaborate with AI research and open-source communities, mentoring engineers and establishing deployment best practices.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

Lead go-to-market strategy for Egnyte's AI solutions, developing messaging, product launches, and enablement across teams to drive pipeline and revenue growth.

Translate multi-modal AI research into 0-1 products: design and run ML experiments, build scalable training and evaluation infrastructure, implement MLOps and data pipelines, deploy models, and use AI code tooling to move experiments to production MVPs.

The role involves developing and enhancing a revenue cycle management platform, ensuring efficient data access for healthcare providers, and collaborating with clients to address their needs.

The Director of Engineering - AI will lead the development and deployment of AI-driven SaaS solutions, mentor engineers, and ensure scalable ML infrastructure while collaborating with cofounders and stakeholders.