3D Computer Vision Perception Engineer (Remote) - 4319

HireClout

Our client is revolutionizing the agriculture industry with ML & AI technology.

Will Be Doing

Create, deploy, and enhance computer vision and machine learning algorithms for robotic systems.
Train, validate, and roll out tailored machine learning models on embedded platforms.
Innovate and craft advanced 3D perception algorithms.
Investigate emerging vision-centric sensors and technologies.
Engineer bespoke architectures for vision-driven autonomy.
Coordinate with diverse teams to seamlessly integrate algorithmic technology into our offerings.
Develop and upkeep code documentation, unit tests, and comprehensive system test suites.

Bachelor’s, Master’s, or PhD in computer science, electrical engineering, physics, or a relevant discipline
5+ years of expertise, particularly within robotics or autonomous systems
Proficiency in C++, Python, and/or other programming languages utilized in robotics and perception
In-depth understanding of monocular and stereo vision technologies
Familiarity with various deep learning architectures pertinent to 3D vision
Hands-on experience training multi-head deep learning architectures
Robust foundation in machine learning modeling, with a focus on object detection and segmentation
Extensive knowledge in classical computer vision algorithms and multiview geometry
Proficiency in camera calibration techniques
Mastery of intricate rotations and frame transformations
Exceptional problem-solving aptitude and adeptness in dynamic work environments
Effective verbal and written communication abilities

Proficiency in crafting computer vision and perception systems tailored for intricate, safety-focused autonomous platforms such as “robotaxis,” autonomous trucks, and agricultural machinery.
Competence in employing sensor fusion methodologies to bolster positional precision through the integration of data from diverse sensors like IMUs, LiDAR, and cameras.
Proficiency in establishing scalable training workflows in cloud environments.
Familiarity with ROS2 and TensorRT frameworks.
Mastery in calibrating LiDAR, RADAR, multi-camera setups, and/or multi-sensor arrays.
Background in formulating algorithms tailored for agricultural applications.
Hands-on experience in operating agricultural machinery and farm apparatus.

Benefits and Perks:

Full Health, Vision, and Dental Coverage

REF: JOB-4319