A key part of NVIDIA’s strength is our advanced analysis tools that enable our incredible insight in how to improve application perf and power efficiency. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing analysis tools (and setup necessary workflows) for GPU/SoC applications’ perf and power on various combinations of OS and HW.
As a member of the software development team, you will engineer and improve the key tools and infrastructure, optimize workflows for perf & power verification/debugging/prototyping activities that are used internally in many important chip and SW projects. Your will work with users from many different departments like Architecture, Application SW, and DevTech. Your tool solution(s) need to provide the users intuitive, rich and accurate insight in how to improve our HW and SW to make them more performant and power efficient, with excellent tools & workflows that are able to exploit every capability of NVIDIA HW and SW without limitation.
What you’ll be doing:
Architect/design and create internal tools with low overhead for real world GPU/SoC application perf/power analysis.
Create powerful infrastructure or services for data visualization and management.
Work with Chip Architects to create their models on top of our tools to explore next generation HW design.
Work with Chip Architects and Application SW teams to explore how to improve our HW/SW’s analysis capabilities.
Maintain an internal GPU cluster for large analysis jobs.
What we need to see:
Bachelor’s or higher degree in Computer Science or Computer Engineering, or equivalent experience.
3+ years of engineering experience.
Strong programming skills in C++ or JavaScript.
Good scripting skills with Python or Perl.
Ability to work with Windows & Linux environments.
Excellent interpersonal skills.
Flexibility for working in an evolving environment with different frameworks and requirements.
Ways to stand out from the crowd:
Experience in contributing to complex open source project, or ability to quickly understand sophisticated source code.
Solid modern C++ programming skills.
Experience in HW performance and/or power analysis.
Practice in large data processing, storage, and visualization.
Experience with Windows application performance/power analysis using ETW based tools.
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