Artificial Intelligence Jobs in San Jose, CA

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

The Data Growth Associate will drive global data collection strategies, user acquisition, and operational optimization while collaborating with cross-functional teams.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Lead the strategy and execution of AI-driven productivity solutions at PayPal, partnering with diverse teams to translate business challenges into scalable AI products.

As a Senior Staff Machine Learning Engineer, you'll develop AI-driven solutions to optimize customer experiences through advanced ML frameworks, focusing on recommendations and personalization.

Lead the strategy and development of AI-driven shopping experiences, focusing on intelligent digital agents for commerce. Collaborate across teams for innovation in automated shopping and ensure data privacy and ethical AI practices.

The Sr. Staff Software Engineer will design and implement scalable systems for Conversational AI and automation, collaborating with teams to deliver solutions, mentor engineers, and ensure system reliability.

The Staff Technical Program Manager will coordinate software development for XPENG’s AI-driven vehicles, optimize agile practices, and manage program risks while tracking KPIs and OKRs.

Design, develop, and maintain agentic AI frameworks and integrations with NVIDIA services, mentor junior engineers, and contribute to open-source development.

The Sr Manager will lead the contracting lifecycle for Polyphonic solutions, ensuring compliance with regulations and driving efficiencies in contract processes while collaborating with cross-functional teams and managing complex agreements.

The Principal Engineer will lead AI-driven shopping initiatives, overseeing development of intelligent agents and driving AI integration in commerce, requiring deep expertise in AI and e-commerce.

The AI Audit Innovation Manager designs and deploys AI solutions to streamline audit processes, leveraging technology and optimizing workflows within the Global Internal Audit team.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Lead end-to-end silicon diagnostic pipeline using AI/ML to analyze scan failures and process data, build models for failure classification and predictive yield, orchestrate AI-based EDA tools, and drive cross-functional root-cause analysis to improve yield and time-to-market.

You will build scalable data pipelines for processing large datasets, optimize training throughput, and evolve data storage solutions at XPENG.

Lead the XR and AI robotics program to ensure timely delivery and quality; manage schedules, risks, and partner engagement while fostering communication across teams.

Lead the strategy and development of AI-driven autonomous shopping experiences, optimizing machine learning models and overseeing large datasets.

The Solutions Architect will design GPU-accelerated data pipelines, develop proof-of-concepts, and integrate NVIDIA's technologies with OEM partners, focusing on AI and security workflows.

The Developer Relations Manager will engage research labs to promote NVIDIA's AI platforms, assess institutional opportunities, provide technical guidance, and connect with researchers to drive product development and collaboration.

The Growth Lead will drive the go-to-market strategy and user acquisition for an AI-powered SaaS product targeting SMBs, focusing on growth from launch to scale via effective user engagement tactics.

Seeking a hands-on Growth Lead to launch and drive user acquisition for a new consumer AI product, with ownership of growth strategies and metrics.