Robotics Engineer, Autonomous Systems
Role Overview
Join an engineering and R&D team developing autonomous drone delivery systems. You will design, integrate, and test robotic systems from prototype through field validation, helping enable safe and reliable operations.
Key Skills for This Role
Full Job Posting
About the Role
Join an engineering and R&D team developing autonomous drone delivery systems. You will design, integrate, and test robotic systems from prototype through field validation, helping enable safe and reliable operations.
What You'll Do
Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
Develop control, navigation, path-planning, and obstacle-avoidance solutions.
Program robotics software with ROS or ROS 2 and C++ or Python, and validate it in simulation.
Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
Build, troubleshoot, and independently validate robotic systems in the field.
Work with mechanical, electronics, and software teams to develop and deploy prototypes.
What We're Looking For
At least 2 years of hands-on experience building or delivering robotics, UAV, or autonomous systems.
Proficiency in C++ or Python, ROS or ROS 2, and Linux; MATLAB familiarity is useful.
Knowledge of robotics fundamentals, including kinematics, dynamics, control theory, PID, and system integration.
Hands-on experience with PX4 or ArduPilot, MAVLink, flight controllers, motors, ESCs, and batteries.
Experience integrating sensors such as IMUs, GPS/RTK, and LiDAR, with knowledge of sensor fusion and GPS-denied navigation.
Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
Familiarity with CAN, UART, I2C, drone telemetry, prototyping, simulation, flight-log analysis, and field testing.
A degree in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field.
Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS operations, and UTM concepts are useful additional experience.
Compensation & Benefits
Visa sponsorship is not available.
Location
- On-site in Indianapolis, United States.
Qualifications
- At least 2 years of hands-on experience building or delivering robotics, UAV, or autonomous systems.
- Proficiency in C++ or Python, ROS or ROS 2, and Linux; MATLAB familiarity is useful.
- Knowledge of robotics fundamentals, including kinematics, dynamics, control theory, PID, and system integration.
- Hands-on experience with PX4 or ArduPilot, MAVLink, flight controllers, motors, ESCs, and batteries.
- Experience integrating sensors such as IMUs, GPS/RTK, and LiDAR, with knowledge of sensor fusion and GPS-denied navigation.
- Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
- Familiarity with CAN, UART, I2C, drone telemetry, prototyping, simulation, flight-log analysis, and field testing.
- A degree in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field.
- Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS operations, and UTM concepts are useful additional experience.
- Compensation & Benefits
- Visa sponsorship is not available.
- Location
- On-site in Indianapolis, United States.
Responsibilities
- Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
- Develop control, navigation, path-planning, and obstacle-avoidance solutions.
- Program robotics software with ROS or ROS 2 and C++ or Python, and validate it in simulation.
- Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
- Build, troubleshoot, and independently validate robotic systems in the field.
- Work with mechanical, electronics, and software teams to develop and deploy prototypes.
- At least 2 years of hands-on experience building or delivering robotics, UAV, or autonomous systems.
- Proficiency in C++ or Python, ROS or ROS 2, and Linux; MATLAB familiarity is useful.
- Knowledge of robotics fundamentals, including kinematics, dynamics, control theory, PID, and system integration.
- Hands-on experience with PX4 or ArduPilot, MAVLink, flight controllers, motors, ESCs, and batteries.
- Experience integrating sensors such as IMUs, GPS/RTK, and LiDAR, with knowledge of sensor fusion and GPS-denied navigation.
- Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
- Familiarity with CAN, UART, I2C, drone telemetry, prototyping, simulation, flight-log analysis, and field testing.
- A degree in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field.
- Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS operations, and UTM concepts are useful additional experience.
- Visa sponsorship is not available.
- On-site in Indianapolis, United States.
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