5 часов назад
Spring 2027 Software Co-op (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Spring 2027 Software Co-op (Computer Vision) (Robotics and Perception): Developing, testing, and deploying computer vision and machine learning solutions for robotic perception systems with an accent on sensor evaluation, model prototyping, and Linux/ROS software. Focus on improving perception pipeline performance, investigating vision-language models for grasp ranking and anomaly detection, and validating systems through simulation and benchmarking.
Location: Onsite at the Bedford, Massachusetts office. The co-op runs approximately from January to June 2027, with flexible dates.
Company
develops automated systems supported by robotics software, computer vision, and machine learning.
What you will do
- Collaborate with software, hardware, and systems engineers to design, test, and validate robotic perception approaches.
- Evaluate perception sensors, including cost-down alternatives, and benchmark their performance.
- Develop and test computer vision and machine learning models for depth completion, stereo vision, and object detection.
- Explore model-based approaches and simulation tools to improve perception pipelines and reduce system bring-up time.
- Investigate vision-language models for grasp ranking, SKU identification, and anomaly detection.
- Develop, debug, deploy, and document robotic software components in a Linux/ROS environment, presenting findings to the engineering team.
Requirements
- Currently pursuing a bachelor's or master's degree in Computer Engineering, Computer Science, Robotics, or a related field.
- Programming experience in Python and/or C++.
- Experience developing in Linux, preferably Ubuntu, and familiarity with ROS.
- Familiarity with robotics and classical or learning-based computer vision.
- Experience with computer vision or machine learning libraries such as OpenCV or PyTorch.
- Understanding of object-oriented design, data structures, and algorithms, along with strong analytical, debugging, problem-solving, and communication skills.
Culture & Benefits
- Multidisciplinary collaboration across software, hardware, and systems engineering.
- Hands-on work involving real-world robotic perception challenges.
- Opportunities to prototype, validate, and deploy solutions for automated systems.
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