Burro is the leading ag-robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors.
To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face.
Based in Philadelphia and backed by top Agtech and autonomy investors, including S2G, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. Burros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format. They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors. We have a growing triple digit fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team.
About you:
- You believe in our mission, and are passionate about autonomy in real-world-use
- You are motivated by making a direct impact on the trajectory of the company you work for
- You enjoy defeating complex problems, and love to build, tinker and create with a driven team
Responsibilities:
- You will implement and benchmark different deep learning models
- You will compare the performance of the different models using different datasets
- You will compare the frames per second and memory of the models in different GPUs
- You will give recommendations for the GPU of the next generation of Robots that will be sold in thousands of units
- You will collaborate with other members of the Engineering team to build a world class Autonomy stack
Requirements:
- Must be currently enrolled in a MS or PHD in SW engineering or Robotics, with at least 2 semesters completed at the time of starting the internship
- Good knowledge of machine learning, deep learning, and computer vision
- Strong Python, Pytorch and Tensorflow skills required
- Experience with CUDA programming and using accelerators like Tensorrt
- Experience with Nvidia graphic cards (RTX, GTX, Jetson Orin…)
- Previous work/internship experience in deep learning/computer vision is preferred
- Able to work in-person, from Philadelphia
Perks:
- This is a paid internship
- This internship requires that you be in-person in Philadelphia
