Member of Technical Staff, Agentic AI Architect

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary – Member of Technical Staff - Agentic AI Architect, Smart Manufacturing AI Pathfinding Innovation (AIPI) Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The memory solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious engineer (Member of Technical Staff | MTS) to deliver industry-winning Agentic AI solutions that power Micron’s dominance in the highly competitive memory solutions market. This role sits at the intersection of applied Agentic AI engineering and production systems work: you will architect autonomous AI Agents and the agentic and data pipelines that power them, build robust CI/CD deployment paths to Kubernetes and containers, and push the limits of agent performance profiling and evaluation to turn massive data and compute into measurable manufacturing impact. Qualified applicants will have experience across data/cloud technologies and systems engineering, with extensive practice modeling data, querying, and deploying scalable pipelines to execute AI agents. You will collaborate with Data Scientists, Data Engineers and expert users to build and deploy scalable Agentic AI solutions that drive value and insight from Micron’s manufacturing processes and systems. If you enjoy solving hard problems at scale, thrive on turning speculative research into production-grade systems, and want to see your work drive silicon to market, this is the team for you. Responsibilities include, but not limited to: Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows. Implement Agentic frameworks to orchestrate LLM interactions with internal APIs, databases, and software tools. Build and maintain agent evaluation harnesses to benchmark agent accuracy, reliability, and task success across complex, multi-step workflows. Analyze and profile agent and inference workloads (e.g., tool-calling latency, multi-agent orchestration) to identify and resolve bottlenecks in compute and latency, using agent observability and profiling tools (e.g., PyTorch Profiler, LangSmith, OpenTelemetry). Implement interoperable multi-agent systems using the Agent-to-Agent (A2A) protocol and the Model Context Protocol (MCP), including MCP tools, plugins, and skills. Create/maintain CI/CD pipelines for deploying AI Agents to Kubernetes and containerized environments in the cloud. Design and implement security controls for autonomous AI Agents, including sandboxing, access control, and mitigation of prompt-injection and tool-misuse risks. Mentor engineers on agentic system design paradigms and optimization techniques. Education Qualifications: Technical Degree required (Bachelor’s or Master’s in Computer Science, Statistics, or a related field). Ph.D. is a plus. Minimum Qualifications: Experience optimizing inference engines (vLLM, TensorRT-LLM) for autonomous AI Agent and LLM workloads. Experience developing GenAI applications and AI Agents using one or more frameworks. Microsoft Agent Framework or Google Agent Development Kit preferred. Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning. Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including

我们的愿景是改变世界利用信息的方式，以丰富所有人的生活。Micron Technology 是内存和存储解决方案创新领域的世界领导者，这些解决方案加速了信息向智能的转化，激励世界比以往更快地学习、沟通和进步。职位摘要 – 技术员工成员 - Agentic AI 架构师，智能制造 AI 路径探索创新（AIPI）加入一个包容的团队，团队热衷于一件事：利用他们的专业知识，为客户和合作伙伴不懈追求创新。我们构建的内存解决方案帮助实现了从虚拟现实体验到神经网络突破的一切可能。我们始终坚守诚信、可持续发展，并回馈我们的社区。因为这样做能够推动我们正在追求的正是创新。Micron Technology 的智能制造和 AI 团队正在寻找一位雄心勃勃的工程师（技术员工成员 | MTS），来交付行业领先的 Agentic AI 解决方案，助力 Micron 在竞争激烈的内存解决方案市场中占据主导地位。该角色位于应用 Agentic AI 工程和生产系统工作的交汇点：你将架构自主 AI Agents 以及驱动它们的 agentic 和数据管道，构建到 Kubernetes 和容器的稳健 CI/CD 部署路径，并推动 agent 性能分析和评估的极限，将海量数据和计算转化为可衡量的制造影响。合格的申请人将具备数据/云技术和系统工程师经验，并在数据建模、查询和部署可扩展管道以执行 AI agents 方面有丰富的实践。你将与数据科学家、数据工程师和专家用户合作，构建和部署可扩展的 Agentic AI 解决方案，从 Micron 的制造流程和系统中驱动价值和洞察。如果你喜欢大规模解决难题，热衷于将推测性研究转化为生产级系统，并希望看到你的工作推动硅片走向市场，这就是适合你的团队。职责包括但不限于：设计和开发能够进行多步推理、规划和工具执行的自主 AI Agents，以自动化复杂的制造工作流。实施 Agentic 框架，以编排 LLM 与内部 API、数据库和软件工具的交互。构建和维护 agent 评估工具，以在复杂的多步工作流中基准测试 agent 的准确性、可靠性和任务成功率。分析和剖析 agent 和推理工作负载（例如，工具调用延迟、多 agent 编排），以识别和解决计算和延迟中的瓶颈，使用 agent 可观测性和剖析工具（例如，PyTorch Profiler、LangSmith、OpenTelemetry）。使用 Agent-to-Agent（A2A）协议和 Model Context Protocol（MCP）实施可互操作的多 agent 系统，包括 MCP 工具、插件和技能。创建/维护 CI/CD 管道，以将 AI Agents 部署到 Kubernetes 和云中的容器化环境。设计和实施自主 AI Agents 的安全控制，包括沙箱化、访问控制，以及缓解提示注入和工具滥用风险。指导工程师了解 agentic 系统设计范式和优化技术。教育资格：要求技术学位（计算机科学、统计学或相关领域的学士或硕士学位）。博士优先。最低资格：具有优化推理引擎（vLLM、TensorRT-LLM）以用于自主 AI Agent 和 LLM 工作负载的经验。具有使用一个或多个框架开发 GenAI 应用和 AI Agents 的经验。Microsoft Agent Framework 或 Google Agent Development Kit 优先。精通大型语言模型（LLMs），包括提示工程、函数调用/工具使用和思维链（CoT）推理。具有设计和实施检索增强生成（RAG）管道的经验，包括

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准