Senior Deep Learning Performance Architect
Description For Senior Deep Learning Performance Architect
NVIDIA, the world leader in accelerated computing, is seeking a Senior Deep Learning Performance Architect to help shape the future of AI computing. This role combines deep technical expertise in machine learning with architectural innovation, focusing on developing next-generation architectures for AI and high-performance computing applications. The position offers an opportunity to work at the cutting edge of deep learning hardware and software development, where you'll analyze and optimize performance across various platforms and frameworks. You'll be part of a team driving innovation in GPU architecture and deep learning acceleration, working with state-of-the-art technology and frameworks like PyTorch, JAX, and TensorRT. The role demands expertise in performance analysis, architecture design, and deep learning, making it perfect for someone who wants to impact the future of AI computing. With NVIDIA's position as "the AI computing company," you'll be at the forefront of developing technologies that power everything from data centers to self-driving cars, working with a team that's pushing the boundaries of what's possible in AI and machine learning.
Responsibilities For Senior Deep Learning Performance Architect
- Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
- Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites
- Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
- Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers
- Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW
Requirements For Senior Deep Learning Performance Architect
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
- 6+ years of meaningful work experience
- Strong background in GPU or Deep Learning ASIC architecture for training and/or inference
- Experience with performance modeling, architecture simulation, profiling, and analysis
- Solid foundation in machine learning and deep learning
- Strong programming skills in Python, C, C++
Benefits For Senior Deep Learning Performance Architect
- Equity
- Additional benefits available but not specified in detail
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