Job Title: Robotics Software Engineer Company Name: APEX Job Url: https://www.simplyhired.com/job/2JY93bye1Rbj0m7k_WUg9JG8vXDLY7Epk_dIe92YqAsq9qKjL8FD_Q Job Description: Robotics Software Engineer (Robotic Arm Autonomy & Manipulation) ATHES Remote Job Details Part-time $66,122.25 - $79,631.10 a year 14 days ago Qualifications TensorFlow Reinforcement learning Data preprocessing RNN Computer Science Bachelor's degree in electrical engineering Robotic systems PyTorch Calibration Computer vision Software deployment Engineering Mid-level Electrical engineering Master's degree Data quality management Bachelor's degree Model deployment Object detection CNN Developing data pipelines Master's degree in electrical engineering Model training Master’s degree in computer science Simulation systems Electrical Engineering AI Bachelor's degree in computer science Machine learning frameworks Robotics Sensors Debugging Full Job Description Location: Remote Company: APEX Employment Type: Part-time About Us APEX is building intelligent robotic systems to automate repetitive industrial tasks. We focus on robotic manipulation and autonomy for real-world pick-and-place applications across logistics, warehousing, and manufacturing environments. We are looking for a Robotics Software Engineer to lead development of intelligent manipulation systems for robotic arms, enabling autonomous pick-and-place operations. Role Overview You will design, train, and deploy machine learning and control systems that enable robotic arms to perform autonomous pick-and-place tasks. This role spans the full stack of robotic autonomy: Perception Model development Simulation Motion planning Deployment to real hardware You will work closely with hardware, teleoperation, and data collection systems to achieve robust real-world automation. Key Responsibilities: Manipulation & Autonomy Develop autonomous pick-and-place pipelines for robotic arms Design grasping, object detection, and motion execution systems Improve task success rate, robustness, and repeatability Machine Learning & Model Development Select appropriate ML / DL models (CNNs, Transformers, RL, imitation learning, etc.) Design and implement model architectures Train models for perception and manipulation tasks Optimize models for real-time inference Perception Systems Build object detection and pose estimation pipelines Integrate RGB / depth cameras and sensor data Implement sensor fusion techniques Calibrate cameras and coordinate transformations Simulation & Training Develop simulation environments (e.g., Isaac Sim, Mujoco, Gazebo, PyBullet) Perform sim-to-real transfer Generate synthetic data where applicable Use domain randomization to improve generalization Data Engineering Design data collection pipelines (teleoperation, VR-based, or scripted) Perform data preprocessing and labeling Build datasets for grasping and manipulation Improve data quality and diversity Deployment & Integration Deploy models onto robotic arm hardware Integrate with motor drivers, encoders, controllers Optimize inference speed and latency Debug real-world performance issues Work with ROS / ROS2 systems Required Qualifications Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field Strong Python programming skills Experience with PyTorch or TensorFlow Experience with robotic arms and manipulation Knowledge of: Kinematics & inverse kinematics Motion planning Control systems Computer vision Experience with simulation platforms Experience deploying ML models to real hardware Preferred Qualifications Experience with imitation learning or reinforcement learning Experience with grasp planning algorithms Familiarity with ROS / ROS2 Experience with camera calibration and coordinate transforms Experience with teleoperation-based data collection Experience working with encoders, motors, drivers What Success Looks Like Robotic arm achieves reliable autonomous pick-and-place High grasp success rate across varying object types Stable sim-to-real transfer Low-latency real-time deployment Production-ready autonomy pipeline Why Join APEX Work on cutting-edge robotic autonomy Build real-world physical AI systems High ownership and technical leadership Opportunity to shape next-generation manipulation systems Job Type: Part-time Pay: $66,122.25 - $79,631.10 per year Expected hours: 20 per week Work Location: Remote