Senior Deep Learning Performance Architect
Description For Senior Deep Learning Performance Architect
NVIDIA is seeking a Senior Deep Learning Performance Architect to join their team in developing cutting-edge processor and system architectures for machine learning acceleration. This role combines expertise in deep learning with high-performance computing, focusing on creating energy-efficient solutions that push the boundaries of AI computing. As part of NVIDIA, known as "the AI computing company," you'll work with state-of-the-art GPU technology that powers everything from gaming to artificial intelligence. The position offers the opportunity to shape the future of AI computing platforms while working with forward-thinking professionals in a company that's transforming multiple industries through GPU technology. You'll be involved in critical architectural decisions that impact the performance and efficiency of deep learning systems, collaborating across various teams including software, research, and product development. The role offers competitive compensation, including equity, and the chance to work at one of technology's most desirable employers, where innovation and technical excellence are core values.
Responsibilities For Senior Deep Learning Performance Architect
- Craft high performance energy efficient system and processor architectures for deep learning
- Prototype key deep learning and data analytics algorithms and applications
- Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites
- Analyze architecture performance and/or energy efficiency for deep learning workloads
- Collaborate across the company to guide the direction of machine learning
Requirements For Senior Deep Learning Performance Architect
- Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience
- 4+ years of relevant work or research experience
- Strong foundation in machine learning and deep learning fundamentals
- Strong background in high performance power efficient designs
- Fluency in programming languages such as Python, C, C++
- Experience with GPU computing and parallel programming models
- Firsthand work experience with analytical performance modeling, profiling, and analysis
Benefits For Senior Deep Learning Performance Architect
- Equity
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