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# Cluster Solution Engineer

- **Company:** Lenovo
- **Location:** Morrisville, NC, United States
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Common Lisp Object Systems, Computer Clusters, Computer Engineering, Django Web Framework, Python (Programming Language), Search Algorithms, Software Tools, TypeScript, ReactJS, Large Language Models, Git, Vue.js, AngularJS, Gitlab-ci, Information Technology, Docker
- **Published:** August 30, 2026
- **Apply:** https://jobs.lenovo.com/en_US/careers/Login?jobId=79651

## About the Role

* BS/MS in Computer Science, Computer Engineering, Eletrical Engineering, or other related engineering fields. Individuals with other backgrounds will also be considered if sufficient knowledge demonstrated in the topics listed below.
 * Professional proficiency in Python and the Django framework. Past experience with the Netbox platform is highly desirable.
 * Strong experience with modern JavaScript/TypeScript frameworks (e.g. React, Vue, and/or Angular).
 * Proven experience with Docker, Git, and CI/CD automation (e.g. GitLab CI)
 * A fundamental understanding of datacenter concepts, including Clos architectures, optical transceivers, data hall layout, and other essential datacenter terminologies
 * Resourcefulness problem-solving and troubleshooting skills
 * Ability to quickly learn new technologies and adapt them to daily operations
 * Strong communication and teamwork abilities with cross-functional teams, * Experience developing MCP servers or similar agentic frameworks to expose software tools to LLMs
 * Proficiency with embedding models and vector databases (e.g., Pinecone, Milvus, Weaviate, or FAISS) for implementing Retrieval-Augmented Generation (RAG)
 * Knowledge of optimization mathematics or experience implementing heuristic search algorithms
 * Familiarity with hardware specifications for GPU clusters (GPU servers, high-radix switches, optical cabling, datacenter power solutions, and liquid-cooling infrastructures

## Description

* Develop and maintain advanced web-based features using the Django framework (Netbox ecosystem), modern frontend technologies, and SQL based database to improve the user experience for RFP solution design.
 * Implement embedding pipelines and vector database architectures (RAG) to ingest and index historical RFP data, allowing for the automated retrieval of past design patterns and technical constraints.


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