NVIDIA GPU Engineer
Job Summary
Working remotely, the full-time NVIDIA GPU Engineer will deploy and operate NVIDIA AI Enterprise on EKS, manage GPU scheduling and performance, and support model onboarding and inference pipelines.
Key responsibilities
- Deploy and operate NVIDIA AI Enterprise on EKS, including GPU Operator drivers and CUDA runtime
- Integrate GPU scheduling with RunAI and configure GPU sharing for optimal performance
- Tune GPU serving performance and troubleshoot issues related to CUDA drivers and scheduling
Required qualifications
- 8 years of experience in infrastructure/ML engineering with hands-on NVIDIA GPU operations
- Proficiency in NVIDIA GPU stack drivers, CUDA, and DCGM
- Experience with Kubernetes GPU workloads and device plugins
- Knowledge of GPU scheduling with RunAI or equivalent
- Familiarity with autoscaling using KEDA and OpenAI-compatible inference API patterns
Complete Job Description
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