Nvidia Senior Deep Learning Performance Architect United States, Texas 908969020
- US, CA, Santa Clara
- US, TX, Austin
- US, OR, Hillsboro
- time type
- Full time
- posted on
- Posted 10 Days Ago
- job requisition id
What you'll be doing:
Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.
Benchmark and analyze AI workloads in single and multi-node configurations.
Develop high level simulator and analysis tools in C++/Python.
Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
Work closely with peer architecture teams and product management to guide development of the products.
Keep abreast with emerging trends and research in deep learning.
What we need to see:
MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.
Strong programming skills in Python and C++.
Ways to stand out from the crowd:
Solid fundamental knowledge in computer architecture and interconnect fabrics.
Understanding of modern transformer-based model architectures.
Ability to simplify and communicate rich technical concepts to non-technical audience.
Have a curious demeanor with excellent problem-solving skills.
You will also be eligible for equity and .
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