AI Infrastructure Engineer

2 Days Old

The Lenovo AI Technology Center (LATC)—Lenovo’s global AI Center of Excellence—is driving our transformation into an AI‑first organization. We are assembling a world‑class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world’s leading computing companies, delivering products across the entire technology spectrum—from wearables and smartphones (Motorola) to laptops (ThinkPad, Yoga), PCs, workstations, servers, and services/solutions. This unmatched breadth gives us a unique canvas for AI innovation, allowing us to rapidly deploy cutting‑edge foundation models and to enable flexible, hybrid‑cloud, and agentic computing across our full product portfolio. We are building the next wave of AI core technologies and platforms that leverage and evolve with the fast‑moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. Responsibilities
AI Infrastructure Design and Implementation: Design, build, and maintain scalable and efficient AI infrastructure, including compute resources, storage solutions, and networking configurations. AI Model Deployment and Management: Develop and implement processes for deploying, monitoring, and managing AI models in production environments. Automation and Tooling: Create and maintain automation scripts and tools for AI model training, testing, evaluation, and deployment in a continuous integration / continuous delivery (CI/CD) pipeline. Collaboration and Support: Work closely with data scientists, engineers, and other stakeholders to ensure smooth operation of AI systems and provide support as needed. Performance Optimization: Continuously monitor and optimize AI infrastructure and models for performance, scalability, utilization, and reliability. Security and Compliance: Ensure AI infrastructure and models comply with relevant security and regulatory requirements.
Qualifications
Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. 8+ years of experience in software engineering, DevOps, or a related field. Strong background in computer systems, distributed systems, and cloud computing. Proficient in Linux system administration, including package management, user/group management, file system navigation, shell scripting (e.g. Bash), and system configuration (e.g., systemd, networking). Proficiency in programming languages such as Python, Java, or C++. Experience with AI‑specific infrastructure and tools (e.g., NVIDIA GPUs and CUDA). Experience with managing high‑performance computing (HPC) clusters, including job scheduling, resource allocation, and cluster maintenance. Familiarity configuring job scheduling tools (e.g., Slurm). Experience with AI infrastructure, model deployment, and management. Excellent problem‑solving and analytical skills. Strong communication and collaboration skills. Ability to work in a fast‑paced, dynamic environment.
Bonus Points
Familiarity with AI and machine learning frameworks (e.g., PyTorch). Familiarity with cloud platforms (e.g., AWS, GCP, Azure). Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
What we offer
Opportunities for career advancement and personal development Access to a diverse range of training programs Performance‑based rewards that celebrate your achievements Flexibility with a hybrid work model (3:2) that blends home and office life Electric car salary sacrifice scheme Life insurance
The role is open for the Edinburgh, Scotland location only. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy). #J-18808-Ljbffr
Apply
Location:
City Of Edinburgh, Scotland, United Kingdom
Job Type:
FullTime

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