Originally posted 17 September 2026 by the employer — open 1 day.
About the role
This role involves architecting autonomous AI Agents and the agentic and data pipelines that power them, focusing on delivering Agentic AI solutions for Micron’s manufacturing processes and systems.
What you'll do
- 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.
- Implement interoperable multi-agent systems using the Agent-to-Agent (A2A) protocol and the Model Context Protocol (MCP).
- Create and maintain CI/CD pipelines for deploying AI Agents to Kubernetes and containerized environments in the cloud.
What you'll need
- 8+ years of relevant industry experience, spanning large-scale data/ML pipelines and/or production Agentic AI systems.
- Technical Degree (Bachelor’s or Master’s in Computer Science, Statistics, or a related field).
- 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 (e.g., Microsoft Agent Framework, Google Agent Development Kit).
- 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 document ingestion, chunking, embeddings, and vector search.
- Experience building and operating end-to-end systems that automate the testing, evaluation, and deployment of autonomous AI Agents.
- Familiarity with MCP (Model Context Protocol) tools, plugins, and skills, and the Agent-to-Agent (A2A) protocol for building interoperable multi-agent systems.
- Understanding of AI Agent security practices, including sandboxing, access control, and mitigating prompt-injection and tool-misuse risks.
- Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn, etc.).
- Strong scripting and programming skills, with software development skills and a desire to work in a cloud environment.
- Experience with Kubernetes for orchestrating containerized applications, including deployment and scaling of AI Agent workloads.
Nice to have
- Experience designing and coordinating Multi-Agent Systems, including collaboration between specialized agents.
- Experience designing and operating agent swarms for distributed, parallelized task execution.
- Experience with agent profiling and evaluation tooling to identify performance regressions and bottlenecks across agent pipelines.
- Hands-on experience with LangChain, LangGraph, or CrewAI.
- Proficiency in TypeScript and/or Rust.
- Knowledge of computer vision and/or signal processing, including techniques for classification and feature extraction.
Skills: Agentic AI solutions, autonomous AI Agents, LLM interactions, agent evaluation harnesses, Kubernetes, containerized environments
This role has been open 1 day — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (512 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 32 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 256 | 5844 · 143 employers |
| Median days open | 37 d | 65 d (−28 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: Agentic AI solutions, autonomous AI Agents, LLM interactions, agent evaluation harnesses, Kubernetes, containerized environments
Who's hiring in this category
- Qualcomm · 105 open roles · median 99 d
- NVIDIA · 85 open roles · median 64 d
- AMD · 42 open roles · median 65 d
- Micron Technology (this employer) · 32 open roles · median 36 d
- Mobileye · 25 open roles · median 50 d
- Analog Devices · 14 open roles · median 21 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 18 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.