Senior Procurement Engineer AI Infrastructure Taiwan
Verda (formerly DataCrunch) is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, self-service clusters, serverless containers, storage, and inference infrastructure.
Funding history
About Verda
Founded in Helsinki in 2020, Verda operates European AI cloud infrastructure across physical data centers, hardware, a cloud platform, and AI research. DataCrunch renamed to Verda in November 2025 without changing its service offering.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will serve as the technical advisor for AI infrastructure sourcing. You will evaluate server platforms, GPU architectures, cluster designs, and supplier proposals; define reference architectures; analyze total cost of ownership; develop procurement knowledge materials; and translate technical requirements into sourcing criteria.
Requirements
- Bachelor's degree in electrical engineering, computer engineering, or a related field
- 3-5+ years of hardware, systems, or infrastructure engineering experience
- Experience designing and supporting large-scale data center hardware platforms
- Expertise in server and storage architectures, power, thermal, rack-level design, and hardware components
- Familiarity with AI cloud, hyperscale infrastructure, or GPU cluster environments
- Technical judgment and stakeholder-influence ability
- English and Mandarin Chinese communication skills
- Willingness to travel domestically and internationally
Responsibilities
- Advise procurement leadership on AI infrastructure sourcing decisions
- Evaluate AI server platforms, GPU architectures, cluster designs, and emerging technologies
- Define hardware reference architectures and standards
- Approve specifications and bills of materials
- Review vendor proposals, technical assumptions, and roadmaps
- Analyze total cost of ownership
- Deliver knowledge-sharing sessions and develop technical reference materials
- Translate technical requirements into sourcing specifications and evaluation criteria