Lenovo

About the Company

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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 (data center, 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). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/.

To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.

Listed Jobs

Company Name

Lenovo

Job Title

Sr. Business Operations Manager

Job Description

**Job title:** Sr. Business Operations Manager **Role Summary:** Lead the design and execution of business performance management for multiple product and sales groups, driving data‑driven decision making, operational efficiency, and alignment of team goals with corporate objectives. **Expectations:** - Deliver actionable insights through rigorous analysis of internal and external data. - Foster a culture of continuous improvement and accountability across functional teams. - Collaborate with cross‑functional stakeholders to prioritize, plan, and implement operational initiatives. **Key Responsibilities:** - Design and implement performance management frameworks and best practices. - Define and monitor clear performance metrics for teams and departments. - Analyze trends, strengths, and improvement opportunities from data sets. - Prepare detailed reports and presentations for senior management. - Provide feedback to business groups and sales organizations, leveraging operational assets. - Coordinate initiatives and communications across global operation towers and sales. - Drive operational optimization and cross‑functional synergy. **Required Skills:** - 5+ years of experience in product/business operations, preferably in ICT. - Strong analytical and data‑interpretation expertise. - Proficiency in Excel and BI tools for reporting and analysis. - Excellent verbal and written communication; capable of influencing stakeholders at all levels. - Strategic thinking, problem solving, and multi‑project management. - Adaptability to changing priorities in a fast‑paced environment. **Required Education & Certifications:** - Bachelor’s degree in Business, Finance, Operations, or a related discipline. - Relevant certifications in operations management, data analytics, or project management are a plus.

North carolina, United states

On site

Mid level

25-11-2025

Company Name

Lenovo

Job Title

ML Engineer - LLM Training & Optimization

Job Description

**Job Title:** ML Engineer – LLM Training & Optimization **Role Summary:** Design, implement, and optimize end‑to‑end training pipelines for large language, vision, and multimodal foundation models. Lead data augmentation, adversarial training, fine‑tuning, RLHF, pruning, distillation, quantization, and LoRA work to improve model accuracy, robustness, and deployment efficiency across edge, cloud, and hybrid platforms. **Expectations:** - Deliver high‑quality, production‑ready models that meet performance targets. - Collaborate closely with research, software, and product teams to integrate AI capabilities into Lenovo’s hardware and software portfolio. - Maintain rigorous documentation, experiment tracking, and reproducibility standards. - Adapt rapidly to emerging AI methodologies and evaluate their applicability to Lenovo’s pipeline. **Key Responsibilities:** 1. **Training Pipeline Development** – Build scalable pipelines for pre‑training, fine‑tuning, and post‑training stages of LLMs, LVMs, and LMMs. 2. **Data Augmentation** – Design and implement augmentation strategies to enhance dataset diversity and robustness. 3. **Robustness Engineering** – Implement adversarial training and robustness tests to mitigate model vulnerability. 4. **Fine‑Tuning & RLHF** – Execute supervised fine‑tuning (SFT) and reinforcement learning from human feedback to align models with task and user objectives. 5. **Model Compression** – Develop pruning, distillation, quantization, and low‑rank adaptation (LoRA) techniques to reduce model size and accelerate inference. 6. **Experimentation & Optimization** – Test hyper‑parameters, architectural variants, and training strategies to maximize performance and efficiency. 7. **Pipeline Maintenance & Automation** – Create and maintain reproducible data and training pipelines, integrating CI/CD practices. 8. **Cross‑Functional Collaboration** – Work with hardware, software, and product teams to tailor models for specific Lenovo devices and services. **Required Skills:** - Proficiency in PyTorch or TensorFlow for large‑scale model development. - Experience with distributed training frameworks (e.g., DeepSpeed, Megatron‑LM, accelerate). - Strong background in data augmentation, adversarial methods, RLHF, pruning, distillation, quantization, and LoRA. - Expertise in experiment tracking (MLflow, Weights & Biases) and pipeline automation. - Familiarity with cloud and edge deployment environments and hardware acceleration (CUDA, ROCm, ONNX). - Solid understanding of generative AI fundamentals and recent research in foundation models. - Excellent problem‑solving, communication, and documentation skills. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or related field (or equivalent experience). - Prior experience leading or executing large‑scale LLM training projects is strongly preferred. ---

Renfrew, United kingdom

On site

06-12-2025

Company Name

Lenovo

Job Title

Security GRC Lead

Job Description

Job Title: Security GRC Lead Role Summary: Lead and execute a global Cyber Security Governance, Risk, and Compliance (GRC) strategy for a managed services and solutions portfolio. Drive alignment with international regulations, develop security frameworks, conduct risk management, and oversee compliance audits and certifications across multi‑location teams. Expectations: - Deliver end‑to‑end GRC programs that meet ISO27001, SOC 2, GDPR, NIST, CIS, and other standards. - Translate regulatory requirements into actionable policies and controls, maintaining continuous compliance. - Mentor and grow a distributed security team, fostering a culture of security excellence. - Partner with C‑suite, product, and technical stakeholders to embed security in design, delivery, and operations. - Manage audit readiness, certification processes, and external assessments. - Lead cross‑functional initiatives and represent the organization in global forums. Key Responsibilities: 1. Develop and implement the organization‑wide GRC strategy for managed services and solutions. 2. Ensure compliance with international, regional, and national cybersecurity regulations, adapting requirements into business processes. 3. Conduct ongoing risk analysis, align risk management with company appetite and business objectives. 4. Create, maintain, and enforce security policies, frameworks, controls, including third‑party and supply chain risk management. 5. Lead, mentor, and develop a multi‑location GRC team, promoting security and compliance culture. 6. Collaborate with product, technical, and business leaders to secure design, delivery, and operations. 7. Manage internal and external audits, certifications (ISO27001, SOC 2, GDPR), and regulatory assessments. 8. Represent the organization in cross‑functional and international forums; communicate risks, gaps, and compliance status to stakeholders. Required Skills: - Advanced knowledge of security frameworks (ISO27001, NIST, CIS, GDPR, SOC 2). - Proven experience in cyber risk management within fast‑paced, global technology or managed services environments. - Strong analytical, problem‑solving, and decision‑making abilities. - Excellent written and spoken English; additional languages a plus. - Strong stakeholder management, communication, and interpersonal skills across diverse cultures. - Leadership ability to mentor and develop distributed teams. Required Education & Certifications: - Bachelor’s or Master’s degree in Information Security, Computer Science, or related field. - Professional certification: CISSP, CISM, CRISC, or CISA (or equivalent). ---

Farnborough, United kingdom

On site

Senior

11-12-2025

Company Name

Lenovo

Job Title

AI Knowledge Engineer

Job Description

Job Title: AI Knowledge Engineer Role Summary: Design, implement, and evolve knowledge architectures that integrate semantic web, vector/graph databases, and large language models (LLMs) to deliver explainable, grounded AI across the product stack. Expectations: Deliver robust knowledge models and GraphRAG pipelines that enhance AI performance, maintain high-quality semantic layers, and drive innovation in ontology engineering and multimodal data integration. Key Responsibilities: - Architect and deploy knowledge graphs using semantic web technologies and graph databases. - Integrate knowledge graphs with LLMs via GraphRAG architectures to ground AI responses. - Research dynamic ontology engineering, leveraging LLM-assisted schema evolution and automated knowledge extraction. - Build semantic layers and data fabrics to unify multimodal data across AI services. - Collaborate with data, ML, and product teams to embed knowledge models into application workflows. - Stay current on semantic AI research and emerging RAG patterns, translating insights into production solutions. Required Skills: - 3+ years of experience in knowledge engineering, semantic web, or related domains. - Proficiency in Python, Java, or Kotlin with advanced use of graph query languages (SPARQL, Cypher). - Strong understanding of vector databases, graph databases, and semantic web standards. - Experience designing and implementing GraphRAG or similar LLM‑KG integration architectures. - Capable of developing ontology models and automated knowledge extraction pipelines. - Excellent analytical, problem‑solving, and communication skills. Required Education & Certifications: - Bachelor’s degree in Engineering, Computer Science, or a related field. - Relevant certifications in data modeling, graph databases, or AI/ML (preferred but not required).

Chicago, United states

On site

22-12-2025