Artificial Intelligence Jobs in San Jose, CA

Lead end-to-end delivery of AI deployments for financial services clients: define features, translate business needs into technical specs, run agile sprints, drive adoption and change management, ensure measurable program outcomes, and expand commercial relationships while collaborating with engineers, product, design, and investment teams.

The Data Infrastructure Engineer will design, build, and maintain data tools for robot data management, supporting AI researchers and ensuring optimal data solutions across storage and compute resources.

Own quality engineering for AI kernel software: design scalable test frameworks, automated CI/CD validation, regression suites for ML operators, hardware-software co-validation, and lead QA partnership and test strategy across kernel, compiler, and hardware teams.

The AI/ML Engineer designs and operates a production-grade orchestration platform, focusing on multi-agent workflows, LLM integration, and backend systems. Responsibilities include managing cloud-native infrastructure, ensuring system reliability and observability.

Develop compiler optimizations and kernel generation for AI inference on NVIDIA GPUs. Solve complex compilation problems, collaborate on hardware/software co-design, and scale AI workloads to datacenter products.

As Director of AI Change Enablement at eBay, you will lead the AI transformation strategy, drive change management, and ensure employee adoption of AI initiatives across the enterprise, acting as a strategic partner to leadership.

Design, build, and scale the AI platform for distributed multi-GPU training, experiment tracking, and model deployment. Optimize GPU clusters, networking (NCCL/InfiniBand), Kubernetes-native scheduling, and inference serving (TensorRT, Triton). Develop agentic automation for cluster health, CI/CD, and data curation while integrating ML lifecycle tooling and observability.

Founding technical role to design, build, and deploy internal AI tools and agents using LLMs and retrieval systems. Partner with investors and the data team to accelerate sourcing, diligence, portfolio insights, and define CRV's AI strategy through rapid prototyping and production-grade systems.

Support enterprise AI adoption by coordinating internal communications, events, enablement, and knowledge resources. Maintain trackers, calendars, follow-ups, and self-service content; support AI literacy, participation tracking, and community moments. Provide generalist program operations and in-office coordination to keep transformation activities organized and moving.

The AI Hardware Architect will analyze and design next-generation AI hardware, focusing on microarchitecture, connectivity, and system performance for GPUs and CPUs.

Lead deployment of NVIDIA GPU and networking solutions in customer data centers: design networks and compute/storage, debug cluster performance, run POCs, advise product roadmap, and support bring-up and customer engagements.

The Principal AI Architect will design intelligent agent systems, establish technical standards, and guide development for various industry verticals within Zoom's AI framework.

Design and build native Android applications for robot data annotation, dataset review, and experiment tracking. Create fast, reliable mobile experiences for real-time data capture, integrate AI models to automate annotation, and collaborate with AI researchers, robot operators, and web tooling teams to ensure consistent workflows.

Design and build scalable EDA flows and AI/LLM-driven automation for 3DIC, interposer, and RDL systems. Implement flow-generation, debugging assistants, root-cause analysis, and platform integration using C++, Tcl, Python, and Java. Collaborate with engineering teams to validate flows, automate constraint-driven designs, and address large-scale, high bump-count and multi-region routing challenges to deliver production-quality solutions.

Lead robotics training data strategy: define formats and quality standards, oversee data collection/annotation, partner with researchers and external providers, build data acquisition plans, and deliver large-scale datasets and tooling to support robotics foundation models.

Lead development and scaling of Jerry.ai's agentic AI platform, partnering with engineering and product to design prompt strategies, evaluation frameworks, guardrails, and integrations (e.g., OpenAI). Drive experimentation to improve automation rates, answer quality, and customer satisfaction while owning roadmap, rollout, and platform standards.

Lead end-to-end product development for Jerry.ai's AI agent platform: unify prompt assets, design prompt strategies and guardrails, partner with engineering and OpenAI, define evaluation frameworks, run experiments to improve automation, quality, and customer satisfaction, and translate technical architecture across the organization.

Lead consolidation and evolution of Jerry.ai's AI platform: unify prompts across systems, set platform architecture, prioritize chatbot/agent features, manage OpenAI partnership, coordinate engineering, data, and operations to ship production-grade AI experiences.

Own and unify the companys AI prompt platform, prioritize chatbot and agent roadmap, manage OpenAI/ChatGPT partnerships, drive platform architecture decisions, and coordinate cross-functional execution while maintaining production AI systems.

Lead end-to-end development and scaling of a customer-facing AI agent platform using LLMs and agents. Define prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, and customer satisfaction. Partner with engineering and vendors (e.g., OpenAI) to deploy voice models and workflow automation, and establish AI platform standards.

Lead development and scaling of a customer-facing agentic AI platform. Define roadmap, partner with engineering on prompts, evaluation frameworks, and guardrails. Translate technical architecture for the organization, run experiments to improve answer quality and automation rates, and collaborate with partners (e.g., OpenAI) to deploy next-generation voice and workflow models.

Lead end-to-end development and scaling of a customer-facing Agentic AI platform. Define roadmap, design prompt strategies and guardrails, partner with engineers and OpenAI, run experiments to improve automation, accuracy, and customer satisfaction.

Lead development and scaling of Jerry.ai's customer-facing Agentic AI platform. Define roadmap, partner with engineers on prompt strategies, guardrails, and APIs, run experiments to improve automation and answer quality, and work with model partners to deploy next-generation voice and workflow automation.

Lead consolidation and platform strategy for prompt-driven AI products. Own prompt migration onto a unified platform, prioritize chatbot engineering work, define architecture, manage the OpenAI/ChatGPT integrations, and coordinate cross-functional teams to stabilize and evolve the agentic AI platform.

Lead development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy voice and workflow automation models, drive experiments to improve answer quality, satisfaction, and automation rates, and establish AI platform standards.