FARIDABAD · FULLTIME
AI/GPU Infrastructure Engineer
Circle Of Care
Faridabad · onsite · Posted 5d ago
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Section · 01
About this role
Looking for candidates with hands-on experience in:
- NVIDIA GB200 / GB300 / B200 / B300
- Blackwell architecture
- NVL72 / HGX / DGX or comparable GPU platforms
- GPU cluster deployment and provisioning
- Rack-scale / post-system-build deployment
- GPU configuration and infrastructure operations
- NVIDIA firmware, hardware security and telemetry
- GPU virtualization
- Kubernetes and/or Slurm
- CUDA / GPU optimization
- AI infrastructure engineering
- Large-scale GPU/AI cluster environments
Strong preference: Candidates who have directly worked on GB200/GB300/B200/B300/NVL72/Blackwell or comparable large-scale GPU infrastructure.
Candidate Profile
Candidates should preferably have 8+ years of relevant experience and come from backgrounds such as:
NVIDIA | AI Infrastructure | GPU Infrastructure | HPC | AI Servers | Data Centers | Semiconductor | Server OEM/ODM | Hyperscalers | GPU Cloud | AI Hardware
Candidates with direct experience in NVIDIA Blackwell / GB200 / GB300 / B200 / B300 / HGX / NVL72 will be given priority.
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Section · 02