Senior AI Storage Infrastructure Engineer at Bitdeer Technologies Group
Austin, TX
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Aug 19, 2026
Austin, TX
Sep 25, 2026
What this job asks for AI summary
This role focuses on designing and operating the high-performance storage layer for an AI-native cloud platform, with emphasis on eliminating I/O bottlenecks for large-scale GPU training and inference workloads. The engineer will build and maintain CSI drivers for parallel file systems, implement GPUDirect Storage integrations, manage NVMe caching strategies, and tune the full containerized storage stack. It suits someone with deep distributed storage and Linux kernel I/O expertise who is comfortable working at the intersection of storage, networking, and Kubernetes orchestration.
Senior level · 5+ years · Bachelor's required · Full-time
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How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $101,310 (middle half $79,725–$129,425).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting is headquartered in Singapore with data centers across multiple countries; no specific work location is stated for this role. The US-based flag has been set to false given the Singapore HQ framing, but the role may be US-based given the US data center presence — location should be confirmed with the employer.
SOC classification is a genuine judgment call: the role involves both building CSI drivers and storage operators (software development, 15-1252) and operating/tuning large-scale storage infrastructure (systems administration, 15-1244). The primary day-to-day emphasis on architecting and operating the storage fabric — rather than shipping a product — tips the classification toward 15-1244, but 15-1252 is a credible alternative.
Terraform and Ansible are listed together as examples of 'infrastructure automation tools' in the requirements section. Terraform is captured as the primary required skill with Ansible as an alternative; Ansible is also listed separately as a preferred skill to reflect that both are named explicitly.
Weka, Lustre, DAOS, and VAST are given as examples of parallel file systems in the responsibilities section (not the qualifications block), so they are marked preferred. Weka is listed as primary with the others as alternatives.
No compensation range is disclosed in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Linux kernel I/O tuning.
Read the full posting
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