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Senior Model Performance Engineer(m/w/x)
Profiling and optimizing GPU utilization for generative video and 3D reconstruction prototypes. 8+ years machine learning experience with strong Python, C++, and CUDA skills required. Work environment focused on VR, AI, and Autonomous Vehicles.
Requirements
- MSc, PhD, or equivalent experience
- 8+ years machine learning experience
- Passion for AI model optimization
- Strong Python, C++, and CUDA skills
- Experience with distributed training optimization
- Strong software engineering fundamentals
- Excellent communication and interpersonal skills
- Strong coding architecture skills
- Experience with NCCL, MPI, or UCX
- Advanced CUDA and Slang optimization
- History of multidisciplinary innovation
- Experience in robotic systems
Tasks
- Profile model training and inference
- Identify efficiency, latency, and memory bottlenecks
- Optimize GPU utilization and throughput
- Improve kernel efficiency for better performance
- Scale prototypes for generative video and 3D reconstruction
- Build robust models for synthetic data generation
- Collaborate with research, performance, and product teams
- Contribute to NuRec and other core libraries
Work Experience
- 8 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- CUDA
- Slang
- GPU
- NCCL
- MPI
- UCX
Benefits
Competitive Pay
- Highly competitive salaries
Other Benefits
- Comprehensive benefits package
- Reasonable accommodation for disabilities
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Senior Model Performance Engineer(m/w/x)
Profiling and optimizing GPU utilization for generative video and 3D reconstruction prototypes. 8+ years machine learning experience with strong Python, C++, and CUDA skills required. Work environment focused on VR, AI, and Autonomous Vehicles.
Requirements
- MSc, PhD, or equivalent experience
- 8+ years machine learning experience
- Passion for AI model optimization
- Strong Python, C++, and CUDA skills
- Experience with distributed training optimization
- Strong software engineering fundamentals
- Excellent communication and interpersonal skills
- Strong coding architecture skills
- Experience with NCCL, MPI, or UCX
- Advanced CUDA and Slang optimization
- History of multidisciplinary innovation
- Experience in robotic systems
Tasks
- Profile model training and inference
- Identify efficiency, latency, and memory bottlenecks
- Optimize GPU utilization and throughput
- Improve kernel efficiency for better performance
- Scale prototypes for generative video and 3D reconstruction
- Build robust models for synthetic data generation
- Collaborate with research, performance, and product teams
- Contribute to NuRec and other core libraries
Work Experience
- 8 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- CUDA
- Slang
- GPU
- NCCL
- MPI
- UCX
Benefits
Competitive Pay
- Highly competitive salaries
Other Benefits
- Comprehensive benefits package
- Reasonable accommodation for disabilities
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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