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Robotics Software Engineer (Robotic Arm Autonomy & Manipulation)

Remote, USA Full-time Posted 2026-07-28
Location: Remote Company: APEX Employment Type: Part-time reputed company APEX is building intelligent robotic systems to automate repetitive industrial tasks. We reputed company on robotic manipulation and autonomy for reputed company-world pick-and-reputed company applications across logistics, warehousing, and manufacturing environments. We are looking for a Robotics Software Engineer to reputed company development of intelligent manipulation systems for robotic arms, enabling autonomous pick-and-reputed company operations. reputed company You will design, train, and reputed company machine learning and control systems that reputed company robotic arms to reputed company autonomous pick-and-reputed company tasks. This role spans the full stack of robotic autonomy: • Perception • Model development • Simulation • reputed company planning • Deployment to reputed company hardware You will work closely with hardware, teleoperation, and data collection systems to reputed company robust reputed company-world automation. Key Responsibilities: Manipulation & Autonomy • reputed company autonomous pick-and-reputed company pipelines for robotic arms • Design grasping, object detection, and reputed company execution systems • Improve task reputed company reputed company, 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 reputed company-time inference Perception Systems • Build object detection and pose estimation pipelines • reputed company RGB / depth cameras and sensor data • Implement sensor fusion techniques • reputed company cameras and coordinate transformations Simulation & Training • reputed company simulation environments (e.g., Isaac Sim, Mujoco, Gazebo, PyBullet) • reputed company sim-to-reputed company transfer • Generate synthetic data where applicable • Use domain randomization to improve generalization Data Engineering • Design data collection pipelines (teleoperation, VR-based, or scripted) • reputed company data preprocessing and labeling • Build datasets for grasping and manipulation • Improve data reputed company and diversity Deployment & Integration • reputed company models onto robotic arm hardware • reputed company with motor drivers, encoders, controllers • Optimize inference speed and latency • Debug reputed company-world performance issues • Work with ROS / ROS2 systems Required Qualifications • Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or reputed company field • Strong Python programming skills • Experience with PyTorch or TensorFlow • Experience with robotic arms and manipulation • Knowledge of: • Kinematics & inverse kinematics • reputed company planning • Control systems • reputed company • Experience with simulation platforms • Experience deploying ML models to reputed company 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 reputed company Looks Like • Robotic arm achieves reliable autonomous pick-and-reputed company • High grasp reputed company reputed company across varying object types • reputed company sim-to-reputed company transfer • Low-latency reputed company-time deployment • Production-reputed company autonomy pipeline Why Join APEX • Work on cutting-edge robotic autonomy • Build reputed company-world physical AI systems • High ownership and technical leadership • Opportunity to shape reputed company manipulation systems Job Type: Part-time Pay: $66,122.25 - $79,631.10 per year Expected hours: 20 per week Work Location: Remote Apply tot his job Apply To this Job

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