Artificial Intelligence Jobs in San Jose, CA

As an Applied AI Engineer, you will develop world generation pipelines, design orchestration systems, and create reinforcement learning frameworks for gaming.

As the second engineer, you will build backend systems for browser automation, collaborate with founders, and design secure authentication processes.

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.

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

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 AI Software Engineer will integrate AI tools into design workflows, optimize system performance, deploy AI agents, and enhance productivity for VLSI design processes.

The AI Intern will engage in machine learning model training, diagnostics, and research on generative AI, using tools like Claude and PyTorch.

Drive applied research and product strategy for AI developer infrastructure, collaborate with research and engineering teams, and lead product commercialization efforts.

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.

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.

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.

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.

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

The Software Engineer will design and implement solutions for GPU cluster operations, focusing on enhancing AI and ML infrastructure. This role includes supporting internal researchers and developing AIOps strategies.

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

Develop and optimize AI infrastructure for data processing, distributed compute systems, and maintain efficient pipelines for training and inference while collaborating with cross-functional teams.

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.

Lead complex AI programs from concept to production, managing cross-functional teams, automating workflows, and communicating status to stakeholders.

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

Design, build, and ship production-grade agentic AI systems and platform services using Python/Go. Implement multi-agent orchestration, memory and RAG pipelines, Kubernetes deployment, GPU inference tuning, observability, security controls, and evaluation/telemetry. Prototype rapidly, harden POCs into SDKs/APIs, and collaborate across teams to operationalize scalable, secure enterprise AI agents.

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

The Director of AI Platform Operations manages AI platform integration, administration, security, and compliance, ensuring effective access and optimization for users. They lead the technical architecture and collaborate with IT and vendors to support the Association's AI initiatives.

The role supports AI adoption in tax teams by enabling technologies, translating requirements, and enhancing tax workflows through collaboration and training for tax professionals.