Artificial Intelligence Jobs in Santa Clara, CA

Design, develop, and productionize scalable AI systems for autonomous threat detection and response. Build LLM-based reasoning engines, graph-based analytics, streaming feature pipelines, orchestration frameworks, and evaluation/reliability tooling. Collaborate with product, detection engineering, and customer teams to translate attacker behavior into robust ML and rule-based detections.

As a Senior AI Solutions Architect, you'll drive the use of NVIDIA AI solutions, support developers, and analyze application architectures to enhance performance.

The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

Lead design and implementation of cloud-native, microservices backend systems that power AI-enabled features (LLM assistants, RAG pipelines, recommendations). Build scalable REST and event-driven APIs, establish MLOps practices, ensure reliability/security/observability, mentor engineers, and collaborate with product, scientific, and infrastructure teams to productionize AI services in regulated scientific environments.

Own the product roadmap for physical AI agents, translate cutting-edge research into developer-facing features, build evaluation metrics and quality frameworks, engage with developers and enterprise users, shape the open ecosystem, and drive cross-functional execution across research, engineering, hardware, design, and GTM.

Senior technical leader responsible for architecting production-grade AI infrastructure for media & entertainment partners. Translate business needs into scalable GPU, storage, networking and inference solutions; validate ISV integrations; influence product roadmap; engage CTO-level stakeholders; and grow a team as the vertical scales.

Responsible for solution planning, feature design, and user experience optimization. Collaborate with teams and analyze user needs to drive product innovation in the e-commerce sector.

The role involves managing AI initiatives, governance, delivery, and stakeholder engagement within the AI Center of Excellence. Responsibilities include overseeing operations, strategy development, and ensuring responsible AI practices.

Lead signal integrity analysis for photonic-electronic systems, collaborating with design teams to optimize high-speed data paths and package stack-ups.

As a Senior Hardware Systems Engineer, you will lead AI rack and cluster infrastructure designs, manage deployments, and collaborate with cross-functional teams to optimize data center solutions.

Lead presales solutioning for Data and AI opportunities using Snowflake, design architectures, conduct workshops, and drive AI-infused data solutions.

As a Founding Account Executive, you will drive the sales cycle, generate leads, become a product expert, and expand customer accounts, all while serving as a trusted advisor on voice AI solutions.

As a Senior Software Engineer - AI, you will design and implement AI systems, enhance workflows, mentor teammates, and drive quality in collaborative settings.

Own AI Cloud strategy and roadmap to showcase hardware advantages, define served models and pricing/tokenomics, write technical PRDs, drive cloud features for enterprise inference, incubate solution architectures, and align product with sales and partner motions to accelerate deals.

As a Senior Formal Verification Engineer, you will develop verification strategies and environments for AI SoCs, ensuring the correctness of digital designs through formal verification methods and collaboration with engineering teams.

Lead the transformation of our marketing ecosystem by designing AI-driven workflows, building generative asset pipelines, and developing predictive models while ensuring compliance with global privacy standards.

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.

The AI Developer Intern will design and develop AI agents, implement RAG models, fine-tune open-source models, collaborate with teams, and optimize AI systems.