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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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