Sr. Manager Software Engineering, AI Infra

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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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Lenovo is seeking an accomplished Senior Software Engineer to take a leadership role within our AI Technology Center. In this senior position, you will lead teams that architect, build, and evolve the software that enable delivery of our Hybrid AI strategy.

You will serve as a technical authority on design patterns, code quality, test approach, mentor and line manage more junior engineers, drive best practices, and collaborate cross-functionally with research, engineering, and product teams. Your deep expertise will be instrumental in scaling our AI capabilities and ensuring production-grade reliability, performance, and security. If you are passionate about making Smarter Technology for All, come help us realize our Hybrid AI vision! #LATC

Responsibilities

- Value focused, high quality, delivery of our software engineering backlog.

- Ensuring consistent adoption of AI tooling and code development ensuring high quality review process.

- Anticipating and following the fast-moving AI engineering and adapting where beneficial

- Technical Leadership and Mentorship: Serve as a technical lead and mentor to your team, establishing engineering standards, conducting design reviews, and fostering a culture of operational excellence across the team.

- Be accountable for the security at all layers from code design, to CI/CD to post deployment.

- Cross-Functional Collaboration: Partner with data scientists, ML engineers, product managers, and leadership to align infrastructure capabilities with research and business objectives. Act as the primary infrastructure point of contact for cross-team initiatives.

- Performance Engineering: Lead efforts to profile, benchmark, and optimize AI infrastructure and model serving for throughput, latency, GPU utilization, scalability, and cost efficiency at scale.

- Security, Compliance, and Governance: Establish and enforce security best practices, access controls, and compliance frameworks across AI infrastructure. Ensure adherence to relevant regulatory requirements and internal governance policies.

Qualifications

- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Advanced degree preferred.

- 12+ years of experience in software engineering and design patterns.

- Demonstrated experience leading or mentoring engineering teams.

- Deep expertise in computer systems, distributed systems, and cloud computing architectures.

- 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 proficiency in Python and at least one additional systems language (e.g., Go, C++, Rust, Java).

- Strong architectural thinking with the ability to balance trade-offs across performance, reliability, security, and cost.

- Excellent communication and collaboration skills, with the 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.

- Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and hybrid cloud architectures.

- Advanced experience with containerization (Docker) and orchestration (Kubernetes), including custom operators, Helm charts, and GPU scheduling plugins.

- Expertise with observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, Datadog) for infrastructure and model monitoring.

- Experience with infrastructure-as-code tools (e.g., Terraform, Ansible, Pulumi).

Bonus Points

- Contributions to open-source infrastructure or ML tooling projects.

- Experience with large language model (LLM) training and inference infrastructure.

What we can offer you:
- Holiday purchase
- Private medical
- Income protection
- Hybrid working model (3:2)
- Attractive pension scheme
- Positive work life balance
- Learning and development
- Life insurance
- Lenovo and Motorola products discounts
- Lifestyle discounts
- Cycle to work
- MyGymDiscounts
- Mortgage advice and support
- Referral bonus
- Free onsite parking

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.

AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.