- Hong Kong Hong Kong
Lenovo Hiring! Full Time [LPS] AI Platform Engineer (Technical) in Hong Kong - Ricebowl
Working Location
Job Description
Responsibilities
General Information
Req #
100017380
Career area:
Consulting / Professional Services
Country/Region:
Hong Kong
City:
Hong Kong
Date:
Tuesday, July 14, 2026
Additional Locations:
- Hong Kong
Why Work at Lenovo
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).
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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.
#LPS
Additional Locations:
- Hong Kong
- Hong Kong
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