Onsite Deep Learning Performance Architect

Posted 13 hours ago

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About the role

  • Deep Learning Performance Architect developing architectures for deep learning performance and efficiency at NVIDIA. Collaborating with teams to advance AI applications and high-performance computing.

Responsibilities

  • 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

  • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent 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

  • equity
  • benefits

Job title

Deep Learning Performance Architect

Job type

Experience level

Entry level

Salary

$124,000 - $241,500 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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