Senior Deep Learning Performance Architect

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins.
$148,000 - $287,500
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI

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 presents an exceptional opportunity to shape the future of AI computing through the development of cutting-edge processor and system architectures.

The position involves crafting high-performance, energy-efficient architectures that push the boundaries of deep learning capabilities. As a senior architect, you'll be responsible for prototyping crucial deep learning algorithms, analyzing complex performance trade-offs, and collaborating across various teams to drive machine learning initiatives forward.

The ideal candidate will bring a strong academic background (Master's or PhD) in Computer Science or related fields, combined with 4+ years of relevant experience. Your expertise should span both the theoretical foundations of machine learning and practical computer architecture implementation. Proficiency in programming languages like Python, C, and C++, along with experience in GPU computing and parallel programming, is essential.

NVIDIA's environment is perfect for creative, forward-thinking individuals who want to make a real impact. The company's GPU technology, which began in computer graphics, has evolved to become the backbone of modern AI computing. You'll be working at the intersection of human intelligence simulation and cutting-edge technology, contributing to applications that range from robotics to self-driving cars.

The role offers competitive compensation ($148,000 - $287,500 base salary) and the opportunity to work with some of the most forward-thinking professionals in the technology industry. You'll be part of a team that's driving innovation in real-time, cost-effective AI computing platforms, helping to maintain NVIDIA's position as "the AI computing company."

This is more than just a job – it's a chance to be at the forefront of the AI revolution, working with state-of-the-art technology and contributing to advancements that will shape the future of computing. If you're passionate about deep learning, high-performance computing, and want to work with a company that's consistently recognized as one of the technology world's most desirable employers, this role at NVIDIA could be your next career milestone.

Last updated 3 days ago

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

Python
Linux
  • 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

Medical Insurance
Equity
  • Base salary
  • Equity
  • Benefits package

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