Weka
Global Resolution Engineer (Remote US)
U.S. Remote +1 · Remote · Full-time · Posted Oct 19, 2026
- Location
- U.S. Remote
United States - Experience
- 10+ years in advanced technical support, sustaining engineering, SRE, or systems engineering roles with direct customer exposure.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
About the job
Owns complex customer escalations across the full compute, network, storage, cloud, and application stack, finding root causes and driving permanent fixes, with additional focus on NVIDIA Cloud Partner and DGX Cloud environments.
What you'll do
- Lead escalations from initial analysis through permanent resolution, including customer incident bridges and collaboration with Development.
- Analyze issues across the solution stack, identify broader customer impact, and drive proactive fixes, advisories, documentation, tools, and process improvements.
- Provide NCP and DGX Cloud expertise, mentor and train Customer Success engineers, and participate in on-call rotations.
What they ask for
- Deep Linux expertise, including kernel, memory management, NUMA, CPU scheduling, and drivers.
- Experience with distributed storage or parallel file systems; high-performance networking including RDMA, RoCE, InfiniBand, or Ethernet.
- Advanced debugging and performance analysis skills, including core dump and log analysis, perf, eBPF, and gdb.
- Proven ability to resolve complex distributed-systems issues and work directly with customers and engineering teams on critical incidents.
Nice to have
- GPU and AI workload experience, GPUDirect Storage, and NVIDIA DGX, SuperPOD, or NCP reference architectures.
- Experience with public cloud, Kubernetes, containers, virtualization, storage protocols, networking technologies, or automation tools.
Tools
Linux, RDMA, RoCE, InfiniBand, Ethernet, perf, eBPF, gdb
AI focus
Supports GPU and AI workloads and NVIDIA cloud environments, helping resolve infrastructure issues affecting performance-intensive workloads.
Model-written summary · the original posting is authoritative