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What You Will Be Doing:
Innovate on tools support for design and performance optimizations of deep neural network models.
Partner with management and architects to translate requirements into designs and lead development.
Stay up to date with the latest research and become a domain authority in deep learning.
What We Need to See:
Master’s degree in computer science, mathematics, or related engineering fields (or equivalent experience).
At least 5 years of relevant technical work experience.
Excellent knowledge of deep learning and hands-on experience working with computer vision and large language models.
Working experience with DL frameworks such as PyTorch, Tensorflow, or JAX.
Strong programming skills in Python or C++.
Excellent communication and interpersonal skills. Self-motivated and ability to work with geographically distributed and multi-functional teams.
Ways to Stand Out from the Crowd:
In-depth knowledge of PyTorch and ONNX. Familiar with NVIDIA DL software stacks (TensorRT, etc.).
Hands-on experience with developing deep learning applications, from training to deployment.
Experience and/or interests in building software tools for designing and optimizing deep neural network models.
You will also be eligible for equity and .
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