
GPU Architectural Expert
24 hours ago
Job Summary:
We are seeking an experienced technical leader to spearhead the development of innovative GPU computers for demanding deep learning and high-performance computing workloads.
This is a critical role that requires a strong understanding of computer architecture, numerical analysis, and machine learning. As a senior engineer, you will be responsible for designing and implementing cutting-edge solutions that accelerate deep learning models through architectural changes or new approaches.
You will work closely with cross-functional teams to drive end-to-end workflows from data curation to performance optimization and deployment. Your expertise in container technologies, Linux operating systems, and Python programming will be invaluable in this role.
- Benchmarking and optimizing Computer Vision Algorithms and Hardware Accelerators.
- Designing and implementing GPU computers for demanding deep learning and high-performance computing workloads.
- MS or PhD in Computer Science, Electrical Engineering, or related field.
- 7+ years of experience in machine learning, numerical analysis, performance analysis, model compression, computer architecture, and data structures.
- Excellent C/C++ programming skills, PyTorch, TensorRT, CuDNN expertise, and hands-on experience with GPU computing and HPC.
- In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud.
- Proficient in Python programming, bash scripting, and Linux operating systems.
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