Senior AI Training Performance Engineer
4 weeks ago
Unlock the Power of AI Training
NVIDIA is seeking a Senior AI Training Performance Engineer to join our team of experts in optimizing AI training workloads. As a key member of our Deep Learning Architecture team, you will play a critical role in helping us achieve peak performance on our AI computing platforms.
Key Responsibilities:
- Analyze and optimize AI training workloads on state-of-the-art hardware and software platforms.
- Develop and implement production-quality software in multiple layers of our deep learning platform stack.
- Collaborate with cross-functional teams to identify and prioritize performance optimization opportunities.
- Build tools and workflows to automate workload analysis and optimization.
Requirements:
- PhD (or equivalent experience) in CS, EE, or CSEE and 5+ years; or MS and 8+ years of relevant work experience.
- Strong background in deep learning and neural networks, with a focus on training.
- Deep understanding of computer architecture and GPU architecture fundamentals.
- Proven experience analyzing and tuning application performance.
- Experience with processor and system-level performance modeling.
- Programming skills in C++, Python, and CUDA.
NVIDIA is a leader in the AI computing industry, and we are committed to empowering our employees to drive innovation and excellence. If you are passionate about performance and have a strong background in deep learning, we encourage you to apply for this exciting opportunity.
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