[LPS] AI Platform Engineer (AI Infrastructure)

Lenovo; Hong Kong; On-site; HKD 350,000 - 550,000; Full time

Benefits offered by this job

Contactable email via Lenovo

Job summary

Lenovo in Hong Kong is seeking an Engineer for Hyper-Scale Cluster Platforms to advance Kubernetes-based cluster management and resource orchestration across client infrastructures. You will design scalable scheduling frameworks supporting containers, VMs, and AI workloads in vast data-center pools.

The role requires hands-on experience with Docker/Kubernetes and programming in Python/Go/C++/Rust/Java, plus fluency in Cantonese/Mandarin and English.

Qualifications

• B.S./M.S in CS/CE with 2+ years of relevant experience.
• Experience designing cloud/resource management and job scheduling.
• Familiarity with Docker and Kubernetes.
• Proficiency in at least one major programming language (Python, Go, C++, Rust, Java).
• Fluent in Cantonese/Mandarin and English.

Responsibilities

• Engineer Hyper-Scale Cluster Platforms: enhance Kubernetes-based cluster management for performance and scalability.
• Advance Unified Scheduling to support diverse workloads in massive-scale pools.
• Develop intelligent scheduling systems to optimize across CPU/GPU/memory/network/power.
• Deliver maintainable code and stay aligned with open-source AI/ML, distributed systems and serverless trends.

Skills

Programming languages

Cloud & infrastructure

Scheduling systems

Education

B.S./M.S in CS/CE

Tools

Docker

Kubernetes

Job description

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 #153 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).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub .

Description and Requirements

About The Job Duty:

• Engineer Hyper-Scale Cluster Platforms: Enhance Kubernetes-based cluster management systems to deliver superior performance, scalability, and resilience—supporting resource orchestration across client’s infrastructure.
• Advance Unified Scheduling: Design and maintain a comprehensive scheduling framework that supports diverse workloads, including containers, VMs, online services, offline computing, AI/ML, and CPU/GPU-intensive tasks within massive-scale resource pools.
• Develop Intelligent Scheduling Systems: Optimize workload performance and resource utilization across heterogeneous resources—CPU, GPU, memory, network, and power—spanning global data centers.
• Deliver Excellence and Innovation: Produce high-quality, maintainable code while staying ahead of advancements in open-source technologies, AI/ML research, distributed systems, and serverless computing.

Qualifications:

• B.S./M.S, degree in Computer Science, Computer Engineering or a related area with 2+ years of relevant industry experience;
• Proven experience designing, architecting and building cloud and infrastructure related but not limited to resource management, allocation, job scheduling and monitoring.
• Familiarity with container and orchestration technologies such as Docker and Kubernetes.
• Proficiency in at least one major programming language such as Python, Go, C++, Rust, and Java.
• Proficient in spoken and written Cantonese/ Mandarin and English.
• Experience in one large scale cluster management systems, e.g., Kubernetes, Ray, Yarn, or Mesos, is highly desirable.
• Experience in large scale resource efficiency management and job scheduling development is highly desirable.
• Project experience in application scaling, workload co-location, and isolation enhancement is highly desirable.

If you require an accommodation to complete this application, please [e-mail]