Description

As a Robotics AI Engineer, you will design and integrate AI-driven robotic systems, ensuring they operate reliably in real-world conditions. This role involves collaborating with various teams to tackle challenges in perception, data collection, and system stability.

Requirements

• •Bachelor’s or Master’s degree in relevant field or equivalent practical experience
• •Solid experience developing software for robotic systems or autonomous platforms
• •Strong programming skills in Python and/or C++
• •Experience working with robotics middleware, sensing systems, and runtime integration
• •Understanding of real-world robotics constraints including latency, synchronization, safety, and hardware variability
• •Proven ability to debug, test, and operate robotic systems beyond simulation
• •Experience integrating ML inference into robotics systems for perception, action selection, or policy execution
• •Familiarity with ROS2 or similar robotics frameworks
• •Exposure to teleoperation, simulation, or embodied data collection workflows
• •Experience working with robot data such as vision, depth, force, or trajectories
• •Strong interest in AI-enabled robotics and embodied intelligence

Tasks

• •Design and implement robotics software
• •Integrate ML model inference into robotic systems
• •Ensure stable system behavior under real-world conditions
• •Handle latency and synchronization issues
• •Address safety constraints and failure modes
• •Work with robot sensors for robust perception
• •Diagnose and resolve system-level issues
• •Build and maintain data collection workflows
• •Capture and log data from robot operations
• •Use simulation frameworks to validate behaviors
• •Reduce deployment risk through testing
• •Collaborate with ML Research Engineers and data engineers

Tools & Technologies

Benefits