Verified Job
IT / Software / Data Analyst
Robotics Engineer- software
IT / Software / Data Analyst
#776704
Remote / WFH
Potential Engineering
Job Description
Key Responsibilities
Especially Important ROS is just a tool, but Robotics engineering related background is important for the requirements, make sure work and interview will be based on description
Design, develop, and test robotic systems including manipulators, mobile robots, or automated hardware platforms
Develop and implement motion planning, kinematics, and control algorithms (PID, MPC, trajectory optimization)
Integrate sensors (LiDAR, cameras, IMUs, encoders, force/torque sensors) for perception and localization
Build and maintain software for localization, robot navigation, SLAM, and obstacle avoidance
Write embedded firmware and real-time control software (C/C++) for microcontrollers and industrial controllers
Work with ROS/ROS2 to develop, simulate, and deploy robotic applications
Collaborate with mechanical and electrical engineers on hardware-software integration
Conduct system-level testing, calibration, and validation in lab and field environments
Debug and troubleshoot issues across hardware, firmware, and software layers
Document designs, test procedures, and technical specifications
Stay current with advances in robotics, automation, and AI to bring new techniques into projects
Required Qualifications
Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
Freshers: Strong academic project work, internships, or personal builds in robotics (e.g., robot arms, drones, mobile robots) will be considered in place of professional experience
Experienced candidates: 2+ years of hands-on experience designing and building robotic systems preferred
Strong programming skills in C++ and/or Python
Exposure to or working knowledge of ROS / ROS2 and robotics simulation tools (Gazebo, RViz, Webots, or similar)
Basic to solid understanding of kinematics, dynamics, and control theory (depth expected to scale with experience)
Familiarity with sensor integration and sensor fusion concepts (Kalman filters, EKF, etc.)
Familiarity with embedded systems and microcontrollers (Arduino, STM32, Raspberry Pi, etc.)
Experience with version control (Git) and collaborative development workflows
Strong problem-solving skills and willingness to work across hardware/software boundaries
Freshers should demonstrate strong fundamentals and eagerness to learn; experienced candidates should demonstrate a track record of shipped or deployed robotic systems
Preferred Qualifications
Experience with SLAM, path planning, and autonomous navigation
Background in Deep learning or computer vision applied to robotics
Experience with CAD tools (SolidWorks, Fusion 360) for mechanical design
Familiarity with real-time operating systems (RTOS)
Prior experience taking a robotic product from prototype to production
Especially Important ROS is just a tool, but Robotics engineering related background is important for the requirements, make sure work and interview will be based on description
Design, develop, and test robotic systems including manipulators, mobile robots, or automated hardware platforms
Develop and implement motion planning, kinematics, and control algorithms (PID, MPC, trajectory optimization)
Integrate sensors (LiDAR, cameras, IMUs, encoders, force/torque sensors) for perception and localization
Build and maintain software for localization, robot navigation, SLAM, and obstacle avoidance
Write embedded firmware and real-time control software (C/C++) for microcontrollers and industrial controllers
Work with ROS/ROS2 to develop, simulate, and deploy robotic applications
Collaborate with mechanical and electrical engineers on hardware-software integration
Conduct system-level testing, calibration, and validation in lab and field environments
Debug and troubleshoot issues across hardware, firmware, and software layers
Document designs, test procedures, and technical specifications
Stay current with advances in robotics, automation, and AI to bring new techniques into projects
Required Qualifications
Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
Freshers: Strong academic project work, internships, or personal builds in robotics (e.g., robot arms, drones, mobile robots) will be considered in place of professional experience
Experienced candidates: 2+ years of hands-on experience designing and building robotic systems preferred
Strong programming skills in C++ and/or Python
Exposure to or working knowledge of ROS / ROS2 and robotics simulation tools (Gazebo, RViz, Webots, or similar)
Basic to solid understanding of kinematics, dynamics, and control theory (depth expected to scale with experience)
Familiarity with sensor integration and sensor fusion concepts (Kalman filters, EKF, etc.)
Familiarity with embedded systems and microcontrollers (Arduino, STM32, Raspberry Pi, etc.)
Experience with version control (Git) and collaborative development workflows
Strong problem-solving skills and willingness to work across hardware/software boundaries
Freshers should demonstrate strong fundamentals and eagerness to learn; experienced candidates should demonstrate a track record of shipped or deployed robotic systems
Preferred Qualifications
Experience with SLAM, path planning, and autonomous navigation
Background in Deep learning or computer vision applied to robotics
Experience with CAD tools (SolidWorks, Fusion 360) for mechanical design
Familiarity with real-time operating systems (RTOS)
Prior experience taking a robotic product from prototype to production
