Lenovo Group Limited 香港招聘
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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.
[LPS] AI Platform Engineer (Technical)
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.
Solution Architect (Robot Industry Application)
Key Responsibilities:
Customer Demand Research & Analysis: Conduct in-depth communication with end customers, sort out and refine business and technical requirements for robotic applications, clarify project scope, technical indicators and delivery standards, and form standardized requirement documents.
Customized Solution Design: Collaborate with internal R&D teams and external partners to design, demonstrate, customize and optimize overall solution architectures for diverse industrial scenarios, based on the company’s core product capabilities of inspection quadruped robots, industrial operation robots and logistics robots.
POC Verification & Pre-sales Support: Independently plan, design and verify customer POC. Provide professional technical consultation, solution presentation and technical argumentation to support sales teams in resolving pre-sales technical issues and facilitating contract signing.
Project Delivery & Implementation Support: Provide continuous technical support during project implementation, track the full delivery process, verify solution implementation effects, and ensure all deliverables meet SOW and customer acceptance standards for smooth project final acceptance.
Solution Iteration & Technical Optimization: Continuously optimize the architecture, functions and performance of robotic application solutions to ensure their advancement, stability and reliability. Summarize industry experience to drive standardized and productized iteration of solutions.
Job Requirements:
Educational Background: Bachelor’s degree or above in engineering majors including Automation, Mechanical/Electrical Engineering, Computer Science, Mechatronics and other related fields.
Professional Experience: Minimum 8 years of working experience in robot solution pre-sales or solution architecture roles. Proven experience in customized design and full-cycle delivery of robot industry solutions, familiar with technical logic, application scenarios and delivery standards of industrial, inspection and logistics robots.
Comprehensive Competence: Strong technical comprehension and solution design capabilities, able to match customer demands with product technologies efficiently. Excellent bilingual communication and cross-departmental collaboration skills to coordinate resources and drive project progress.
Language Proficiency: Fluent in both spoken and written Chinese and English, capable of smooth technical communication and document compilation in bilingual environments.
Personal Quality: Rigorous logical thinking, strong sense of responsibility and project control ability, capable of independently solving technical and collaborative problems in solution design and project implementation.
Preferred Competencies
Familiar with the working principle, core parameters and application limitations of robot dog inspection and AGV/AMR logistics robots;
Familiar with the business processes and inspection standards of electric power, mining, petrochemical and other industries;
Experience in leading POC verification, solution bidding and full-process project delivery of robotic industry projects.
Senior Specialist, Marketing Strategy & Planning
Description and Requirements:
More accurate messaging from product experts: closer collaboration with TSG means content reflects real capabilities and deliverable outcomes.
Clearer differentiation & positioning: product marketing turns TSG strengths into compelling “why LPS” proof points for enterprise buyers.
Faster content iteration: keeps materials updated as solutions evolve (roadmap, packaging, security/compliance points).
Better lead conversion & sales enablement: industry-segmented content and rapid updates improve sales readiness and win rates.
Reduced friction and rework: one onshore owner streamlines reviews/approvals and builds reusable assets that lighten TSG effort.