Experience Not stated in the posting - worth applying if the stack matches
About the role
structured by ORIROLES AND RESPONSIBILITIES - Design and develop robust, scalable, and maintainable software for industrial robotic systems. - Implement motion planning, trajectory optimization, and real-time control algorithms. - Develop vision-based automation by integrating sensors (cameras) with robotics systems. - Optimize…
What you will do
- Design and develop robust, scalable, and maintainable software for industrial robotic systems.
- Implement motion planning, trajectory optimization, and real-time control algorithms.
- Develop vision-based automation by integrating sensors (cameras) with robotics systems.
- Optimize software for performance, reliability, and deployment on embedded and cloud-based platforms.
- Conduct simulations and real-world experiments to validate robotic system performance.
What they are looking for
- B.S. degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or related fields.
- Strong programming skills in Python with a focus on software engineering best practices.
- Proficiency in robotics fundamentals, including kinematics, dynamics, control theory, and state estimation.
- Proficiency in version control (Git), software testing, and debugging techniques.
- Self-motivated problem solver who thrives in a fast-paced, collaborative environment.
- Due to U.S. export control regulations (ITAR), this position is limited to U.S. Persons (U.S. citizens or lawful permanent residents)
Nice to have
- M.S. degree in Robotics, Computer Science, or related field.
- Experience with ROS (Robot Operating System) and/or other robotic middleware.
- Strong understanding of motion planning algorithms, trajectory generation, and real-time control.
- Familiarity with industrial robot arms, PLCs, or real-time control frameworks.
- Experience optimizing software for edge devices.
- Knowledge of distributed computing architectures.
Before you apply
- Due to U.S. export control regulations (ITAR), this position is limited to U.S. Persons (U.S. citizens or lawful permanent residents)
Pythonrobotics fundamentalskinematicsdynamicscontrol theorystate estimationmotion planningtrajectory optimizationGitROS (Robot Operating System)PLCs
Full posting text
ROLES AND RESPONSIBILITIES
- Design and develop robust, scalable, and maintainable software for industrial robotic systems.
- Implement motion planning, trajectory optimization, and real-time control algorithms.
- Develop vision-based automation by integrating sensors (cameras) with robotics systems.
- Optimize software for performance, reliability, and deployment on embedded and cloud-based platforms.
- Apply strong software engineering principles, including code modularity, testing, version control, and CI/CD.
- Conduct simulations and real-world experiments to validate robotic system performance.
- Collaborate across disciplines, working with hardware engineers, controls engineers, etc.
- Contribute to system architecture decisions, ensuring efficiency and scalability.
MINIMUM QUALIFICATIONS
- B.S. degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or related fields.
- Strong programming skills in Python with a focus on software engineering best practices.
- Proficiency in robotics fundamentals, including kinematics, dynamics, control theory, and state estimation.
- Proficiency in version control (Git), software testing, and debugging techniques.
- Self-motivated problem solver who thrives in a fast-paced, collaborative environment.
- Due to U.S. export control regulations (ITAR), this position is limited to U.S. Persons (U.S. citizens or lawful permanent residents)
OPTIONAL QUALIFICATIONS
- M.S. degree in Robotics, Computer Science, or related field.
- Experience with ROS (Robot Operating System) and/or other robotic middleware.
- Strong understanding of motion planning algorithms, trajectory generation, and real-time control.
- Familiarity with industrial robot arms, PLCs, or real-time control frameworks.
- Experience optimizing software for edge devices.
- Knowledge of distributed computing architectures.