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 join their innovative team. This role sits at the intersection of artificial intelligence and high-performance computing, focusing on developing next-generation architectures that push the boundaries of AI acceleration.
The position offers an opportunity to work on cutting-edge technology at a company that's pioneering solutions in AI and digital twins, transforming major industries worldwide. As a Senior Deep Learning Performance Architect, you'll be responsible for developing innovative architectures, analyzing performance trade-offs, and collaborating with cross-functional teams to advance both hardware and software solutions for deep learning.
The ideal candidate will bring a strong technical foundation with at least 6 years of experience, combining expertise in GPU architecture, deep learning, and performance optimization. You'll work with leading frameworks like PyTorch and JAX, and have the opportunity to influence the direction of NVIDIA's AI computing platforms.
This role offers a competitive compensation package, including a base salary range of $184,000 to $356,500, plus equity and comprehensive benefits. Based in either Santa Clara, CA or Redmond, WA, you'll be part of a team that's driving the future of AI computing, working on real-time, efficient computing platforms that are revolutionizing how machines learn, perceive, and solve problems.
NVIDIA's commitment to innovation in AI and deep learning makes this an exciting opportunity for someone passionate about pushing the boundaries of what's possible in computer architecture and artificial intelligence. You'll be working at the forefront of technology that's transforming industries and creating intelligent machines that can learn, reason, and interact with people.
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
- 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 and comprehensive benefits package
