ZipRecruiter
Overview
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. Responsibilities
Collaborate with hardware and software engineers to design, develop, and optimize software for our chip to enable AI inference. Identify and resolve functional and performance bottlenecks in complex software and hardware designs. Qualifications
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 / Additional 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. #J-18808-Ljbffr
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. Responsibilities
Collaborate with hardware and software engineers to design, develop, and optimize software for our chip to enable AI inference. Identify and resolve functional and performance bottlenecks in complex software and hardware designs. Qualifications
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 / Additional 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. #J-18808-Ljbffr