Senior Deep Learning Performance Architect
Description For Senior Deep Learning Performance Architect
NVIDIA, the world leader in accelerated computing, is seeking an exceptional Senior Deep Learning Performance Architect to join their team. This role sits at the intersection of deep learning and computer architecture, focusing on developing cutting-edge processor and system architectures that push the boundaries of machine learning acceleration.
The position offers a unique opportunity to shape the future of AI computing at a company that has transformed from a graphics pioneer to "the AI computing company." You'll be working on NVIDIA's GPU architecture, which has evolved from rendering virtual worlds to becoming the backbone of AI and deep learning applications worldwide.
As a Senior Deep Learning Performance Architect, you'll be responsible for crafting high-performance, energy-efficient system architectures that advance the state of the art in deep learning. Your work will involve prototyping key algorithms, analyzing complex performance trade-offs, and collaborating with various teams across NVIDIA to guide the direction of machine learning initiatives.
The role requires a blend of technical expertise in computer architecture, deep learning fundamentals, and programming proficiency. You'll need at least 4 years of relevant experience and advanced education in Computer Science or related fields. Your experience with GPU computing, parallel programming, and performance analysis will be crucial in developing next-generation AI computing platforms.
NVIDIA offers a competitive compensation package with a base salary range of $148,000 to $287,500, plus equity and comprehensive benefits. The company is known for its forward-thinking culture and is consistently ranked as one of the technology world's most desirable employers. This is an opportunity to join a team that's driving innovation in AI computing and making a meaningful impact across industries.
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 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
- Comprehensive benefits package
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