AI Performance and Efficiency Engineer - New College Grad 2026
NVIDIA(1 month ago)
About this role
An AI/ML Performance and Efficiency Engineer at NVIDIA focuses on improving efficiency for researchers using GPU clusters by identifying and addressing infrastructure and application bottlenecks. The role partners with customers and cross-functional engineering teams to deliver scalable solutions across the stack that accelerate AI/ML research and reduce compute costs.
Required Skills
- GPU Clusters
- ML Efficiency
- Performance Optimization
- NSight Systems
- NSight Compute
- NCCL
- Python
- Go
- Bash
- Cloud Platforms
+9 more
Qualifications
- BS in Computer Science
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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