Insight Global oversees a program with this client that is dedicated to AI discovery that will further technological advancements across the organization. Embodied AI is a team within Meta FAIR Labs that focuses on the science and engineering of intelligent machines with a physical or virtual embodiment. Within Embodied AI we have a Platforms pillar that develops physical and virtual systems to collect data for AI model building, demonstrate capabilities, and develop and test scenarios for foundation models for Embodied AI research efforts.
This team in particular works on in-house robots, running machine learning and reinforcement learning experiments to study different tasks such as putting a toy into a basket and helping to clean a room alongside a human. This consists of reviewing recorded locations inside of a physical environment and creating a test framework to study if the robot can navigate safely inside by troubleshooting sensors, the quality of viewpoints through cameras, audio inputs, how well it aligns with the area it was supposed to go, was it able to grasp the object, and other error margins.
The Robotic Systems Integrator is responsible for developing, maintaining, and enhancing robotic experiments. They will collaborate with a multidisciplinary team to design, test, and deploy robotics solutions in real-world applications.
Responsibilities
Assist in the build of in-house robots
Run robot experiments on physical robot
Run robot experiments on fair cluster
Lab tools order and setup
Develop and maintain testing fixtures and assets specifically for robot evaluations.
Perform debugging and initial troubleshooting during the early stages of robot testing, ensuring attention to detail and effective communication.
Employ state-of-the-art methodologies to establish benchmarks for projects.
Once robot is up and running and initial tests are complete, will oversee the data collection efforts on robots and act as an operations POC and a first line of support on robots
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Bachelors degree in Computer Engineering, Robotics Engineering, Computer Science, or related field.
Proficient in ROS (ROS1 and ROS2) and have used it for sensor data integration
Experience working on robot hardware, sensors, and actuators in a professional setting
Experience designing and managing the integration of robotic systems, including cameras, sensors, GPUs, and control hardware, ensuring their functionality through rigorous testing.
Experience setting up and troubleshooting networks. Must understand different network protocols and have experience working within Linux
Scripting experience in Python and Bash
Proven examples of robotic project work and ability to set up a test framework. Ability to perform debugging and initial troubleshooting during early stages of robot testing.
Experience training and deploying deep learning models
Project experience around reinforcement and machine learning. Skilled in applying machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.