Director of AI Infrastructure

Work Location: Hanoi: TechnoPark Tower, Vinhomes Ocean Park, Hanoi, Vietnam

Job overview:

We are investing in hyperscale AI infrastructure, with a long-term vision to develop multi-GW AI data center capacity and large-scale GPU compute clusters, enabling frontier model training and AI deployment at national scale.

We are looking for a Director of AI Infrastructure to architect, build, and scale our end-to-end AI infrastructure stack - from data center design to distributed training and inference systems.

This is a founding leadership role with full ownership of architecture, technology decisions, and ecosystem partnerships to build one of the largest AI infrastructure platforms in Southeast Asia.

What you will own:

1. End-to-End AI Infrastructure Architecture

Define and design the full stack of AI infrastructure:

→ Hyperscale data centers (multi-MW → GW-scale roadmap)

→ GPU clusters (hundreds → thousands GPUs, scaling toward 10,000+)

→ High-performance networking and distributed storage

Architect systems for frontier-scale model training and large-scale inference

2. Hyperscale Compute & Distributed Systems

• Build and operate large-scale GPU clusters (Phase 1: 500–1000 GPUs, scaling beyond)
• Design distributed systems for training, scheduling, and orchestration
• Optimize throughput, latency, utilization, and cost efficiency

3. AI Platform & Inference Systems

• Lead development of training and inference platforms
• Design systems for serving AI models at scale (millions of users / requests)
• Optimize model deployment, performance, and reliability

4. Data Center Strategy & Execution

• Lead design and scaling of AI-ready data centers (tens of MW → multi-GW roadmap)
• Drive decisions on power density, cooling (liquid/air), and rack design
• Own vendor ecosystem across NVIDIA, OEMs, networking, and infrastructure partners

5. Build the Team & Ecosystem

• Build and lead a world-class AI infrastructure organization
• Define engineering culture, hiring standards, and execution model
• Establish partnerships with global leaders in AI, cloud, and hardware ecosystems

What we are looking for:

We are open to candidates from different backgrounds, as long as you have built systems at scale in at least one of the following:

Option A - Distributed AI / Compute

• Built or operated large-scale distributed training systems
• Deep expertise in GPU clusters, HPC, or AI compute infrastructure

Option B - AI Platform / Inference

• Built AI platforms or large-scale inference systems
• Strong understanding of LLMs, training pipelines, and model optimization

Option C - Data Center / Hardware Infrastructure

• Designed or operated hyperscale data centers (MW-scale or beyond)
• Strong expertise in power, cooling, and high-density compute systems.

You might be a fit if you have:

• Experience working with hundreds → thousands → tens of thousands of GPUs
• Built systems for frontier AI / hyperscale cloud / HPC environments

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• Strong hands-on technical depth combined with leadership and builder mindset

Why this role is unique

• Greenfield build - no legacy constraints
• Real scale commitment - multi-MW to 3–4GW AI infrastructure roadmap
• Full ownership - architecture, vendor selection, and execution
• Opportunity to shape national-scale AI capabilities

Compensation & Benefits

• Flexible executive compensation (structured based on candidate profile)
• Relocation & long-term incentives
• Access to Vingroup ecosystem (housing, healthcare, education…)

📩 Apply via:

Email: [email protected]

For more information, please direct message me.