V

VESSL AI

GPU cloud platform for AI workloads

GPU Cluster Architect

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • Hold at least a bachelor's degree in a related major such as electrical/electronic engineering or computer engineering.
  • Have at least four years of experience designing, building, or operating GPU/HPC clusters.
  • Be able to visit data-center sites and travel, and be comfortable conducting in-person discussions with CSPs, operators, and vendors.
  • Have experience designing high-speed fabrics such as InfiniBand or RoCEv2 and network topologies.
  • Meet at least two of the listed data-center construction or operations experience criteria, including cluster validation or operation in scheduler/orchestration environments such as Slurm or Kubernetes; understanding data-center power and cooling facilities and having direct technical discussions with CSPs or data centers; practical understanding and field engineering experience with data-center MEP systems; full-stack troubleshooting across GPU/server hardware, OS, and drivers; and experience designing, building, or operating a single GPU cluster of at least four NVIDIA Scalable Units (2,048 Blackwell GPUs).

Responsibilities

  • Qualify new and existing data centers for large GPU clusters by reviewing contracted power, power receiving methods, cooling capacity, rack power density, drawings, and equipment specifications, and establish go/no-go criteria.
  • Design cluster architecture, including IP plans and network topologies such as rail-optimized and fat-tree, and high-speed network configurations based on InfiniBand or RoCEv2.
  • Validate completed clusters through benchmarking and burn-in tests in scheduling environments such as Slurm and Kubernetes, diagnosing performance and stability issues across hardware, operating system, drivers, and networking.
  • Define hardware specifications for GPU servers, switches, and cabling, and coordinate procurement and delivery schedules with vendors, OEMs, and ODMs.
  • Lead technical negotiations and align technical positions among CSPs, data centers, network and power vendors, and internal infrastructure and sales teams.
  • Review facility drawings and equipment specifications, and visit construction or operating data-center sites to work directly with CSPs, contractors, and vendors.

Desired Qualifications

  • Experience building infrastructure automation or telemetry pipelines, including predictive failure detection, using Python or Go.
  • Understanding of virtualization technologies such as KVM, QEMU, and libvirt.
  • Understanding of data-center contract types such as colocation and powered shell.
  • Experience collaborating with data centers or CSPs across multiple global regions.
  • Business-level English communication skills.

About the Company

VESSL AI

GPU cloud platform for AI workloads

What VESSL AI does: It runs VESSL Cloud, a GPU cloud platform built for AI workloads. It gives teams on-demand access to high-end GPUs (A100, H100, B200, B300, GB200) to run activities like LLM fine-tuning, large-scale model training, and AI inference. How it works: Users launch GPU instances in VESSL Cloud from VESSL’s own data center infrastructure, paying per minute for usage, and using the platform to accelerate AI development without managing physical hardware. How it stands out: It operates its own data center and offers per-minute billing, delivering up to 80% cost savings versus AWS and GCP, focusing specifically on AI workloads rather than general-purpose cloud services. What the goal is: To help AI teams move quickly from idea to production by removing infrastructure overhead and providing scalable, affordable GPU resources for AI work.

Company size
51-200
Company stage
Series A
Total funding
$16.6M
Headquarters
San Francisco, CA
Founded
2020

Recently Posted Jobs

Explore more opportunities at VESSL AI

See more jobs