Senior AI Infrastructure Engineer

Tencent•Palo Alto, CA

2d•Onsite

About The Position

Tencent Overseas IT has the mission to empower Tencent’s rapid global growth with future ready, global IT platforms, applications and services. We are chartered to lead the Overseas IT strategy, architecture, roadmap and execution. Satisfying our internal/external customers and becoming a world class global IT team are our top aspirations. Role Summary We are looking for an experienced Senior AI Infrastructure Engineer to join our team. This role owns the technical evaluation and end-to-end execution of AI infrastructure deployments — from data center due diligence and solution review, through cross- functional delivery coordination, to ongoing operations of production AI environments. You will act as a key technical owner bridging internal stakeholders and external partners, ensuring infrastructure is delivered on time, to spec, and operated reliably at scale.

Requirements

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
5+ years of experience in data center infrastructure, infrastructure deployment, or infrastructure operations.
Solid understanding of high-performance compute server hardware, high-speed networking (e.g., InfiniBand/RoCE), storage systems, and data center power & cooling fundamentals.
Proven experience evaluating data center facilities and reviewing technical proposals for compute infrastructure.
Strong track record coordinating complex, multi-party technical projects to closure, including working effectively with external partners and cross-regional teams.
Hands-on experience with cluster orchestration and management tools (e.g., Slurm, Kubernetes) and Linux system administration.
Proficiency in scripting/automation (Python, Bash; Ansible/Terraform a plus).
Familiarity with observability/monitoring stacks (Prometheus, Grafana, ELK) and DCIM tooling.
Bilingual proficiency in English and Mandarin highly preferred
Strong ownership mentality, able to independently drive projects with minimal supervision.

Nice To Haves

Experience with high-performance storage / parallel file systems (e.g., Lustre, GPFS/Spectrum Scale, WekaFS, VAST, Ceph) in AI infrastructure environments.
Experience deploying/operating large-scale AI compute environments in a hyperscale or cloud environment.
Data center or infrastructure certifications.

Responsibilities

Conduct on-site data center assessments to evaluate whether candidate facilities meet AI infrastructure requirements.
Review and validate AI infrastructure solution designs, identifying technical risks, gaps, and cost/performance trade-offs before sign-off.
Coordinate with external partners, driving timelines, resolving technical issues, and ensuring deliverables meet internal requirements.
Partner with internal business and engineering teams to translate requirements into deliverable technical specifications.
Participate in and eventually take ownership of day-2 operations for live AI environments — monitoring, incident response, capacity/health checks, firmware and lifecycle management, coordinating hardware maintenance as needed.
Build and improve operational standards, runbooks, and documentation for infrastructure delivery and operations to enable consistent execution across regions.
Provide technical guidance and mentorship to junior engineers/interns on hardware diagnostics, cluster tooling, and best practices.
Track and report on project status and risks to management.