The company:
Cutting-edge AI startup pioneering disruptive autonomy solutions accelerating the transition to fully autonomous ground and aerial vehicle operation. Using patented image radar modules and the advanced associated software, they provide unmatched long-range sensing and perception solutions to the automotive, locomotive, tracking, aerial, and drone industries.
What you will do:
Lead entire software lifecycle of AI sensor fusion architectures for state-of-the-art radar products
Design and optimize Kalman filter structures for sensor fusion system
Define and design AI neural network architectures
Identify appropriate test datasets for training neural networks
Develop data labeling tools and processes
Develop innovative techniques to solve design challenges
Implement algorithms and architectures (Matlab, C++, CUDA, and Python) using deep learning frameworks (Tensorflow, Keras or Pytorch)
Implement and optimize neural network architectures from scratch
What you will need to succeed:
Must have
3+ years of hands-on experience in the field
Exceptional individual contributor with ability to work with a team
Strong coding skills in C++ and Python
Strong foundations in Computer Vision, Machine Learning, Deep Learning, Convolutional Neural Networks, and Recurrent Neural Networks
Experience training, architecting and optimizing CNNs from scratch
Familiar with deep learning frameworks like Tensorflow, Keras, Pytorch
Experience with Sensor Fusion algorithms
Project management skills
Masters' degree in Artificial Intelligence or equivalent
Nice to have
Experience with Kalman Filter algorithms
Experience with Lidar, Radar and Camera data formats
Experience with TensorRT
Experience in the Automotive Industry
Experience in Mobile and Fixed Wireless Network Industry
Previous experience with startups transitioning to growth stage and beyond