Job Description
The role involves leading the development of perception systems for autonomous trucks, focusing on computer vision techniques such as object detection, tracking, and sensor fusion, to enable safe and efficient driverless freight transportation.
Key Responsibilities
- Design and implement perception system components such as object detection, object tracking, and multi-sensor fusion
- Build software infrastructure for learning algorithms to utilize large-scale image and LIDAR data
- Develop optimized data processing pipelines for pre-processing, model training, post-processing, and inference
- Train, evaluate, and improve perception models, addressing performance bottlenecks
- Create scalable tools and infrastructure for model training and evaluation
- Collaborate with engineering teams for system integration and testing
Requirements
- Masters or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related field
- 7 years of related experience in software development or perception systems
- 2 years of professional experience working on Computer Vision using C and OpenCV
- Expert knowledge of modern C (C 11 or later) and Python programming languages
- Experience in deploying perception algorithms into real-world environments
- Familiarity with NVIDIA software libraries such as CUDA or TensorRT
- Experience building testing and evaluation platforms for perception systems
- 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 techniques
- 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
Benefits & Perks
Salary Range: $180,000 - $260,000
Ready to Apply?
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