155K–175K SGD / year
AI Infrastructure Engineer
AIRemote — unknown
Published on 2026-10-06
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
As an AI Infrastructure Engineer at vCluster, you'll lead technical deployments for AI cloud customers from initial setup to production. Your role focuses on optimizing GPU infrastructure and ensuring customer teams can operate their platforms independently, all while documenting processes for future use.
About the company
vCluster Labs builds virtual Kubernetes clusters that let platform teams create isolated environments on top of shared clusters for engineering and AI workloads.
What you'll do
- Drive end-to-end technical deployments for GPU environments
- Configure and troubleshoot GPU node infrastructure
- Deploy and validate Kubernetes and vCluster for GPU services
- Collaborate with customer teams for knowledge transfer
- Document playbooks and deployment architectures
- Provide feedback to engineering and product teams
- Participate in pre-sales technical discussions
What we're looking for
- 5+ years of experience with production Kubernetes
- Knowledge of NVIDIA GPU Operators and CUDA tooling
- Deep understanding of networking fundamentals
- Experience with persistent volume configuration
- Ability to operate in fast-moving environments
- Familiarity with modern tech stacks
Nice to have
- Automation scripting skills (Bash, Python, Go)
- Relevant Kubernetes certifications (CKA)
- Experience with AI/ML tooling
- Experience in building AI Automation documentation
Benefits
- Competitive salary and equity package
- Premium health, dental, and vision insurance
- Flexible working schedule and environment