Senior System Software Engineer - AI Performance and Efficiency Tools
NVIDIA(8 months ago)
About this role
This software engineering role at NVIDIA focuses on developing sophisticated analysis and debugging tools for AI workloads running on GPU clusters. The position supports AI researchers and hardware/software teams by delivering intuitive, accurate insights into workload and system behavior to improve performance and power efficiency. The team collaborates with architects and cross-functional engineering groups to inform hardware and software design decisions through benchmarking, simulation, and profiling.
Required Skills
- C++
- Python
- PyTorch
- TensorFlow
- Distributed Training
- Slurm
- Kubernetes
- CUDA
- NCCL
- Debugging
+4 more
Qualifications
- BS in Computer Science or Related Field
- 5+ Years Software Development
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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