Who we are
About the role
What you'll do
- Design and implement key components of perception system such as object detection, object tracking, and multi-sensor fusion
- Build software infrastructure to enable learning algorithms to leverage large scale image/LIDAR data
- Design and write highly optimized pipelines for data pre-processing, model training, data post-processing, inferencing etc.
- Train perception models, evaluate their performance, investigate and fix performance bottlenecks
- Develop scalable training and evaluation tools and infrastructure
- Collaborate with other engineers to conduct system integration and tests
What we're looking for
- Masters’ or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related field
- 7+ years of related experience
- 2+ years of professional experience working on Computer Vision using C++ and OpenCV
- Expert knowledge of modern C++ (C++11 or later) and Python
- Experience in deploying perception algorithms into real-world environments
- Familiar with NVIDIA software libraries such as CUDA or TensorRT
- Experience building testing and evaluation platforms
- Familiarity with deep learning applied to computer vision problems
- Experience working on Computer Vision problems in at least two of the following subjects: Feature detection & matching, Image Filtering, Object Tracking, 3D Estimation, 3D Reconstruction, SLAM
- Proficiency in modern container technologies including Docker and Kubernetes
- In-depth understanding of software performance and optimization
- Strong math fundamentals and a good grasp of 3D geometry and vector math
- Worked with one or more neural network frameworks, such as Tensorflow or PyTorch
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