Systems & Instrumentation Engineer (Robotics) Intern

Systems & Instrumentation Engineer (Robotics)

Company: OneStepGreener
Location: Gurugram
Experience: 02 Years

Roles & Responsibilities

• Integrate and validate sensors including LiDAR, IMUs, wheel encoders, ultrasonic sensors, cameras, proximity sensors, and other industrial instrumentation.
• Interface with embedded hardware, motor controllers, Battery Management Systems (BMS), actuators, and industrial peripherals.
• Configure and troubleshoot communication protocols including CAN, UART, SPI, I2C, Ethernet, Modbus, and MQTT where applicable.
• Perform sensor calibration, system tuning, and performance validation for robotic platforms.
• Develop and execute hardware validation, system integration, and commissioning procedures.
• Monitor robot telemetry, diagnostics, health parameters, and system logs for performance optimization.
• Collaborate closely with Embedded, Robotics (ROS2), IoT, Mechanical, and Product Engineering teams.
• Support hardware-software integration across edge devices and robotic controllers.
• Debug electrical, firmware, networking, and system-level integration issues.
• Develop automated testing procedures and maintain technical documentation.
• Participate in prototype development, field testing, deployment, and continuous improvement of robotic systems.

Required Skills

• Good programming knowledge in C/C++ or Python.
• Strong understanding of electronics and instrumentation fundamentals.
• Knowledge of embedded systems and microcontroller-based architectures.
• Familiarity with industrial communication protocols such as UART, SPI, I2C, CAN, and Ethernet.
• Understanding of sensors used in robotics, including LiDAR, IMUs, encoders, and cameras.
• Strong Linux fundamentals.
• Familiarity with Git for version control.
• Basic understanding of networking concepts and hardware debugging.
• Excellent troubleshooting and analytical skills.
• Preferred Skills
• Exposure to ROS/ROS2 and robotic system architectures.
• Familiarity with edge computing platforms such as NVIDIA Jetson or Raspberry Pi.
• Knowledge of MQTT, REST APIs, and cloud-based telemetry systems.
• Experience with industrial automation, PLCs, or SCADA systems is an advantage.
• Understanding of SLAM, localization, navigation, and autonomous robotic systems.
• Knowledge of Docker and containerized deployments.
• Experience with simulation tools such as Gazebo or Isaac Sim.
• Familiarity with testing equipment such as oscilloscopes, logic analyzers, multimeters, and power analyzers.
• Understanding of battery systems, motor control, and power electronics.

Educational Qualification

• B.E./B.Tech/M.Tech in Electronics, Instrumentation Engineering, Electrical Engineering, Robotics, Mechatronics, Embedded Systems, Computer Science, or related disciplines.

What We're Looking For

• Strong systems-thinking mindset with the ability to understand interactions between hardware, software, networking, and robotics.
• Passion for robotics, industrial automation, and autonomous systems.
• Hands-on approach to debugging and experimentation.
• Ability to learn new technologies quickly and work across multiple engineering domains.
• Strong logical reasoning and problem-solving skills.
• Excellent communication and collaboration abilities.
• Curiosity to build reliable, production-grade robotic systems from concept to deployment.