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What you’ll be doing:
Build internal perf/power profiling tools for real world application running on NVIDIA products like GPUs or systems
Build infrastructure or services for profiling data storage, visualization and mining
Work with our users to build / calibrate perf/power models for next generation HW or system
Partner with architects to propose new HW features or improve existing features with real world use cases
What we need to see:
BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
Strong software design and implementation ability
Strong programming skills with Python, modern C++ or modern web application development
Good understanding in how Deep Learning frameworks works (like PyTorch, TensorFlow, Megatron-LM and etc...)
Proficient with GIT and P4
Excellent problem solving skills and project management skills
Flexibility for working in an evolving environment with changing requirements
Ways to stand out from the crowd:
Huge plus for experience in building Continuous Profiling system for GPU data center
Skillful in Deep Learning application performance analysis and optimization
Knowledgable in GPU or CPU architecture
Resourceful in GPU application performance or power analysis
Proven experience in contributing to large open source projects
You will also be eligible for equity and .
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