Artificial Intelligence Jobs in San Jose, CA

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Translate technical requirements across teams, run experiments to improve automation and satisfaction, and partner with OpenAI on voice models and workflow automation.

Own and evolve Jerry.ai's AI platform: consolidate prompts into a unified system, prioritize chatbot technical roadmap, manage OpenAI/ChatGPT partnerships, track emerging tech (voicebot, etc.), coordinate cross-functional execution, and use data (SQL) to validate decisions.

Lead development and scaling of a customer-facing AI agent platform using LLMs and agents. Define roadmap, design prompt strategies and guardrails, partner with engineering and OpenAI, run experiments to improve automation, accuracy, and customer satisfaction, and establish AI platform standards and evaluation frameworks.

Lead end-to-end development and scaling of a customer-facing AI agents platform. Define prompt strategies, evaluation frameworks, guardrails, and APIs. Partner with engineering and OpenAI to deploy voice and automation models, drive experimentation to improve answer quality, satisfaction, and automation rates, and establish platform standards and best practices.

Build and lead the SRE function from scratch: hire and manage a 3–5 person team, define SLOs/SRIs and incident processes, own reliability across colo/on-prem/cloud, implement observability and IaC (Terraform/Ansible), drive shared storage migration and FinOps, serve as senior escalation for incidents, and partner with DevOps and engineering on HPC workload requirements.

Design and implement real-time localization, ego-motion tracking, and state-estimation systems by fusing multi-modal sensors. Build scalable offline pose-tracking pipelines, multi-sensor calibration tools, and evaluation/testing frameworks. Collaborate cross-functionally to deploy reliable, high-performance software for humanoid robotics in real-world environments.

Design, build, deploy, and operate AI-enabled backend services and workflows for risk decisioning. Implement LLM-based workflows, retrieval, tool use, and integrations; ensure observability, reliability, security, and continuous improvement while partnering cross-functionally and owning end-to-end production systems.

Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.

The Director of AI will lead AI and data engineering teams, define and execute AI strategy, and ensure effective partnership across functions, focusing on scalable AI solutions and responsible AI practices.

As an intern, you will research and develop AI/ML algorithms for computer graphics and robotics in 3D animation, collaborating with a multidisciplinary team.

Lead AI feature design and delivery, build large-scale ML systems, mentor engineers, and define best practices across the engineering organization.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

The Physical Design Engineer will lead efforts in solving physical design challenges, improve RTL-to-GDS methodologies, and integrate AI/ML solutions into CAD flows, focusing on performance and runtime improvements.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

Lead and inspire a small team in AI research focused on autonomy and knowledge capture related to semiconductor equipment. Responsible for project roadmap and development of software modules.

The intern will design and implement AI-driven automation workflows to enhance the silicon testing process, collaborate with engineers, and document automation recipes.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

The role involves leading product strategy for search at eBay, improving user experience through AI-driven features, and working with cross-functional teams.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

Develop and optimize high-performance Vision AI systems, pipeline implementations, and collaborative projects, leveraging computer vision and deep learning for real-world applications.

The Solutions Architect will design and build enterprise AI solutions, aid in adopting NVIDIA AI technologies, and work on deep learning applications for customers across industries.

The role involves architecting and optimizing AI inference systems, developing GPU kernels, and contributing to benchmark methodologies, requiring substantial experience in performance engineering and various programming technologies.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Design and scale GenAI-powered product marketing capabilities: codify PMM methodologies, build agentic workflows and prompt systems, prototype with Python/Streamlit, and partner cross-functionally to productionize AI-enabled GTM, segmentation, and messaging workflows.