Software Engineer, Cluster Architecture Automation

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

Key Responsibilities:

• 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.

Required Qualifications:

• 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

Preferred Qualifications:

• 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