We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field
5+ years of experience, with at least 2 years in both deep learning and software engineering
Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
Experience with CNNs, LSTMs/RNNs, Transformers
Strong math skills and Python proficiency
Experience with C/C++
Preferred Skills & Experience:
Master's or PhD in Computer Science, Engineering, or related field
Experience in embedded or low-level programming
Knowledge of CUDA/OpenGL
Experience deploying neural networks in production
Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Numbers & Facts
Location
Austin, TX (Remote)
Skills
Artificial Intelligence (AI)unmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
CUDA (Compute Unified Device Architecture)unmatched
Computer Engineeringunmatched
Computer Scienceunmatched
Deep Learningunmatched
Embedded Systemsunmatched
Hardware Designunmatched
Mathematicsunmatched
Neural Networksunmatched
OpenGL Programming Librariesunmatched
Python Programming/Scripting Languageunmatched
Software Designunmatched
Software Developmentunmatched
Software Engineeringunmatched
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