Senior AI Infrastructure Engineer
$124,800 - $283,800 per year
Apply (opens in a new tab)Senior AI Infrastructure Engineer
Posted 2 days ago
SENIORITY
Lead
SALARY
$124,800 - $283,800 per year
About the role
- 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.
- Who We Look ForRequirementsBachelor'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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
