Computer Vision Engineer

Atomic Machines•Santa Clara, CA

17h•$170,000 - $230,000

About The Position

We are seeking a Computer Vision Engineer to join our AI and ModSim team. An ideal candidate should have experience developing and deploying CV algorithms for automated systems, preferably in the context of manufacturing, robotics systems, or agent perception. In this position, you will be required to have an in-depth understanding of CV tools such as OpenCV and deep-learning CV algorithms, and you should feel comfortable driving automated data collection and processing, including curation and labeling. The tools you develop will be a key component of our manufacturing platform; as such, you will be required to write robust production level software to be embedded in hardware platforms. You will also have to handle both data-heavy and data-scarce training and testing environments. The ideal candidate is excited to use their skills to help create new classes of devices that can be fabricated and manufactured at scale on our robotics manufacturing platform. They thrive in a highly collaborative workplace, actively engage in the development process, and excel at documenting and presenting their work.

Requirements

~5 years (post Bachelors) of experience in the application of CV/ML, preferably in industrial settings.
Strong programming skills in Python, with a strong understanding of and experience in traditional CV algorithms.
Proficiency in deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).
Experience with creating and using a data collection, annotation, and labeling pipeline.
Good understanding of the foundations of robotics (affine transformations, hand-eye calibration, etc).
Strong problem-solving skills, attention to detail, communication, collaboration and presentation skills.
Experience working in cross-functional teams.
Bachelor’s degree in Computer Science, Software Engineering, Robotics, Perception, or a related field.

Nice To Haves

Knowledge of ML-Ops fundamentals (release definitions, staging/test environments, cloud deployments).
Experience with cloud infrastructures (AWS, Azure, etc.) and communication protocols.
Experience with active learning methods for data collection and/or optimization algorithms for hyperparameter tuning.
Experience deploying CV algorithms for real-time applications on compute-constrained hardware.

Responsibilities

Implement algorithms for automated, task-specific data collection and labeling.
Implement algorithms for object detection, segmentation, deblurring, etc., using OpenCV and/or Deep Learning techniques.
Write robust production code for deploying the above algorithms on hardware platforms.
Test, benchmark, and optimize algorithms to improve their performance, accuracy, and reliability