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About the Role
The Advanced AI Technology Center (AAITC) is driving Lenovo's transformation into an AI-first organization by building the next wave of AI core technologies and platforms. This role offers the opportunity to shape AI at a global scale with products that impact daily life and work.
Responsibilities
- Define and drive the long-term infrastructure strategy for AI workloads.
- Architect scalable, cost-efficient, and resilient compute, storage, and networking solutions.
- Serve as a technical lead and mentor to infrastructure engineers.
- Establish engineering standards, conduct design reviews, and foster operational excellence.
- Design and own platforms, frameworks, and processes for deploying, monitoring, and managing AI models at scale.
- Architect and maintain automation pipelines for AI model training, evaluation, testing, and deployment.
- Champion infrastructure-as-code practices and drive continuous improvement of CI/CD workflows.
- Partner with data scientists, ML engineers, product managers, and leadership to align infrastructure capabilities with objectives.
- Act as the primary infrastructure point of contact for cross-team initiatives.
- Lead efforts to profile, benchmark, and optimize AI infrastructure and model serving.
- Establish and enforce security best practices, access controls, and compliance frameworks.
- Ensure adherence to relevant regulatory requirements and internal governance policies.
- Own capacity forecasting, resource planning, and cost optimization for GPU clusters and associated infrastructure.
Requirements
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Advanced degree preferred.
- Proficient in general mathematics & statistics.
- 12+ years of experience in software engineering, infrastructure engineering, DevOps/SRE, or a related field, with at least 4 years focused on AI/ML infrastructure.
- Demonstrated experience leading or mentoring engineering teams on infrastructure projects.
- Deep expertise in computer systems, distributed systems, and cloud computing architectures.
- Strong proficiency in Python and at least one additional systems language (e.g., Go, C++, Rust, Java).
- Understanding of Design Patterns and Solution Architecture.
- Expert-level Linux system administration, including package management, user/group management, file system internals, shell scripting (e.g., Bash), networking, and system configuration (e.g., systemd, kernel tuning).
- Strong architectural thinking with the ability to balance trade-offs across performance, reliability, security, and cost.
- Excellent communication and collaboration skills.
- Ability to influence technical decisions across teams and present to senior leadership.
- Ability to thrive in a fast-paced, ambiguous environment and drive clarity through technical leadership.
- Expertise with observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, Datadog) for infrastructure, open telemetry n-tier application stacks and model monitoring with open telemetry and open inference.
- Knowledge of observability stacks, open telemetry.
Skills
- Python
- Go
- C++
- Rust
- Java
- Linux system administration
- Bash scripting
- Systemd
- Kernel tuning
- Prometheus
- Grafana
- ELK/OpenSearch
- Datadog
- Open telemetry
- Open inference
- Docker
- Kubernetes
- Terraform
- Ansible
- Pulumi
- PyTorch
- DeepSpeed
- Megatron-LM
- vLLM
- AWS
- GCP
- Azure
Location
- London
- United Kingdom
Work Type
- Hybrid working model (3:2)
- Full-time
Experience Level
- 12+ years of experience in software engineering, infrastructure engineering, DevOps/SRE, or a related field
- at least 4 years focused on AI/ML infrastructure
- Advanced experience with containerization (Docker) and orchestration (Kubernetes)
- Expertise with observability stacks
- Experience with infrastructure-as-code tools
- Experience with large language model (LLM) training and inference infrastructure
Education Level
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field
- Advanced degree preferred
Benefits
- Holiday purchase
- Private medical
- Income protection
- Attractive pension scheme
- Life insurance
- Lenovo and Motorola products discounts
- Lifestyle discounts
- Cycle to work
- MyGymDiscounts
- Mortgage advice and support
- Referral bonus
About the Company
- Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, serving millions of customers in 180 markets.
- Focused on a bold vision to deliver Smarter Technology for All, Lenovo has a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices, 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).
Equal Opportunity
- We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.