한국어·English
VAST Data company · OPEN ROLE
- Company
- Stores and processes the large-scale data needed for AI training and analysis.
- Role
- Sits on-site with major clients in Singapore and solves infrastructure problems together with them.
Log in to mock apply, save this role or see more roles.
What you will do
We rewrote the responsibilities and qualifications in plain language instead of copying the original posting.
Responsibilities
- Works embedded within the most strategic large-scale customer environments as a core engineering member.
- Works alongside customer architects, operators, and developers to solve problems unique to their scale.
- Distills field insights into precise technical requirements the core development teams can act on.
- Builds custom API endpoints and automation tools or scripts to unblock customer workflows.
- Actively advocates internally so the customer's long-term technical needs are reflected in the roadmap.
What you need
- Knows performance tuning, storage protocols, high-performance file systems, and distributed systems inside and out.
- Has strong understanding of high-throughput fabrics such as InfiniBand, RoCE, and 100GbE+.
- Has advanced knowledge of Linux systems architecture, memory management, and kernel mechanics.
- Can read, debug, and contribute to a complex enterprise codebase in Python and C/C++.
- Has 5+ years in a technical, customer-facing role such as forward deployed engineer or similar.
- Stays calm and analytical under pressure and can travel or work on-site at customer locations up to about 25 percent of the time.
Good to have
- Has experience operating large-scale AI training environments or HPC clusters.
- Has experience with containerized environments such as Docker and Kubernetes and AI/ML frameworks such as PyTorch and TensorFlow.
Read the employer’s original job description
See how your resume reads for this role
A former Korea GM at a global company reads it and tells you what to improve for this role. It uses 1 credit.
Checked 2026-10-19