Senior AI Infra Engineer — Lead Production AI Systems

Tencent; Palo Alto (CA); On-site; USD 125,000 - 284,000; Full time

Benefits offered by this job

Sign-on bonus

Relocation package

RSUs

Medical benefits

401(k)

Job summary

Tencent seeks an experienced Senior AI Infrastructure Engineer to lead end-to-end AI infrastructure deployments, from data center due diligence to production operations. You will bridge internal stakeholders and external partners, ensuring on-time, to-spec delivery and scalable reliability.

Role focuses on evaluating facilities, coordinating multi-party projects, and owning day-2 operations with monitoring, incident response, and lifecycle management. Mandarin bonus language preferred.

Qualifications

• 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.

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.

Skills

Data center infra

Slurm

Kubernetes

Linux admin

Python Bash

Education

Bachelor's or Master's degree in CS/CE/EE

Tools

Ansible

Terraform

Prometheus

Grafana

ELK

Job description

Tencent seeks an experienced Senior AI Infrastructure Engineer to lead end-to-end AI infrastructure deployments, from data center due diligence to production operations. You will bridge internal stakeholders and external partners, ensuring on-time, to-spec delivery and scalable reliability.

Role focuses on evaluating facilities, coordinating multi-party projects, and owning day-2 operations with monitoring, incident response, and lifecycle management. Mandarin bonus language preferred.