Overview:
In this role you will advance perception systems for Zoox’s autonomous vehicle platform. You’ll collaborate with a cross-disciplinary team to translate research into deployable code and algorithms that impact core vehicle perception. You will tackle challenges in 3D data processing and machine learning to improve sensing, mapping, and decision-making. This is a fast-moving role at the intersection of robotics, ML, and software engineering, offering the chance to shape the next generation of autonomous mobility. Compensation / Benefits paid time off health insurance long-term disability insurance life insurance stock appreciation rights RSUs or sign-on compensation
Responsibilities:
Collaborate with a cross-functional team of engineers to develop perception software Design and implement algorithms for processing 3D data (point clouds, meshes) Research and prototype neural network and computer vision solutions for perception tasks Contribute to system integration, validation, and performance optimization Advance real-time sensor fusion and perception pipelines within autonomous driving context Support code, algorithm design, and experimentation for scalable perception solutions
Key requirements:
Master's degree or PhD in computer science or related field Fluency in C/C++ Strong interpersonal communication skills Experience with 3D data and representations (pointclouds, meshes) Strong background in Neural Network Learning, Computer Vision and Machine Learning Extensive experience with programming and algorithm design 5-7 years of experience in a related field strong communication collaboration problem-solving ability C/C++ 3D data (pointclouds, meshes) Neural Network Learning