Cluster Solution Engineer

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).

• Design validation AI cluster infrastructure management software
• Design and develop methodologies, processes, software frameworks and tools for AI cluster deployment and end‑to‑end performance evaluation and tuning.
• Design and develop hardware and software product features that improve AI cluster solutions in performance, manageability, serviceability, and so forth.
• Collaborate with cross‑functional teams and contribute to business projects and customer engagements.

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.
• 2+ years of experience in design and implementation of datacenter hardware and software systems, with expertise in at least one of the following areas: server, network, storage, performance benchmarking.
• Strong programming skills (e.g., C/C++, Python, Go, shell scripting).
• Understanding of Machine Learning and Deep Learning principles.
• Experience with Machine Learning frameworks such as PyTorch, Lang Chain, Lang Graph, Autogen, etc.
• Excellent communication and leadership skills.
• Ability to learn new technologies and concepts quickly.
• Innovative mindset with the ability to think outside the box.

• PhD in Computer Science or Computer Engineering.
• Experience with AI infrastructure solutions in production environments.
• Experience with AI hardware and software stack (e.g., CPU, GPU, network switch, ML platforms, libraries, runtimes).
• Ability to innovate and publish at top conferences.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.