Senior Deep Learning Performance Architect

ArchitectArchitectFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | Washington

Posted

5 days ago

Salary

$184K - $356.5K / year

Seniority

Senior

Postgraduate Degree6 yrs expEnglishNode.jsPython

Job Description

Senior Deep Learning Performance Architect

NVIDIA

• 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 • Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs. • Develop high level simulators in C++/Python • Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

Job Requirements

  • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
  • 6+ years of relevant meaningful work experience
  • Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node
  • Experience with performance modeling, architecture simulation, profiling, and analysis
  • Solid foundation in machine learning and deep learning. Understanding of modern transformer-based architectures and their performance at scale.
  • Strong programming skills in Python, C, C++

Benefits

  • equity
  • benefits

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