Robotics Software Engineer

Role Description

This role involves developing perception, planning, and control stacks for autonomous systems. You’ll integrate computer vision (CV), SLAM, and reinforcement learning (RL) methods to deliver reliable, real-time performance on constrained hardware.

• Design and implement perception, planning, and control systems for autonomous robots
• Integrate CV, SLAM, and RL to achieve reliable and efficient real-time performance

Qualifications

• Background in robotics, computer science, or engineering
• Proficient in ROS, with hands-on experience in building robotics pipelines
• Strong coding skills in C++ and Python, with libraries like PyTorch, TensorFlow, OpenCV, and NumPy
• Understanding of robotics fundamentals: perception, motion planning, SLAM, and control theory
• Comfortable deploying real-time systems on constrained hardware using CUDA
• Experience with simulation environments such as Gymnasium for RL training
• Care about bridging research and deployment, ensuring robustness in real-world scenarios

Requirements

• Build and optimize robotics software stacks for perception, planning, and control
• Integrate CV, SLAM, and RL algorithms into real-world robotic systems
• Develop scalable robotics pipelines using ROS, PyTorch, TensorFlow, and OpenCV
• Benchmark and validate performance across simulated and real environments
• Optimize models and algorithms for real-time execution on constrained hardware
• Collaborate with researchers and engineers to bring robotics systems from prototype to production

Benefits

• Classified as an hourly contractor to Mercor
• Paid weekly via Stripe Connect, based on hours logged
• Part-time (20–30 hrs/week) with flexible hours—work from anywhere, on your schedule
• Weekly Bonus of $500–$1000 USD per 5 tasks
• Remote and flexible working style