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Deep Learning Optimization Engineer
1 month ago
We are seeking a highly skilled Deep Learning Optimization Engineer to join our team at NVIDIA.
About the Role:
This is an exciting opportunity for a talented software engineer to develop deeply optimized deep learning kernels for inference. You will be responsible for analyzing and modeling performance to identify areas of improvement in our software stack and underlying hardware architecture.
Your Key Responsibilities Will Include:
- Developing highly optimized deep learning kernels for inference
- Conducting thorough performance analysis and modeling to optimize software and hardware architectures
- Collaborating with cross-functional teams to drive innovation and extend the state-of-the-art in performance, efficiency, reliability, and programmability
- Working with automotive, image understanding, and speech understanding teams to develop creative solutions
What We Need to See:
- Excellent C/C++ programming and software design skills
- Python experience is a plus
- Performance modeling, profiling, debug, and code optimization knowledge
- GPU programming experience (CUDA or OpenCL) is desired
- Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting results
The successful candidate will have a strong background in software development, particularly in deep learning and GPU programming. If you are a motivated and detail-oriented individual who thrives in a fast-paced environment, we encourage you to apply.
Estimated Salary: $120,000 - $180,000 per year
NVIDIA is widely considered one of the most desirable employers in the technology industry. Our team consists of forward-thinking and talented individuals who work together to drive innovation. If you are autonomous and enjoy taking on new challenges, we want to hear from you.
