• 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.
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.
Preferred Qualifications
• 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.
Location State(s)
US-California-Palo AltoAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Tencent Games is a leading global platform for game development, operations and publishing, and the largest online game community in China. They provide cross-platform interactive entertainment experience for more than 800 million users in over 201 countries and regions around the world.