Gatik Ai - Mountain View, CA

posted 9 days ago

Full-time
Mountain View, CA

About the position

The Robotics Integration and Testing Engineer at Gatik will play a crucial role in the integration, validation, and testing of autonomous systems within the company's fleet of autonomous vehicles. This position focuses on ensuring safe and reliable performance in various real-world environments, directly supporting the scaling and deployment of Gatik's autonomous vehicle operations. The role requires a combination of software and hardware integration skills, as well as a strong background in robotics and autonomous systems.

Responsibilities

  • Lead integration efforts of software and hardware components within the autonomous driving system, ensuring seamless operation and robust performance.
  • Develop, execute, and maintain test plans, cases, and procedures for validating system-level functionality, focusing on critical areas such as perception, navigation, and control.
  • Conduct both in-lab and on-road testing for complex robotic systems, simulating diverse operational scenarios to assess reliability and safety.
  • Utilize simulation environments (e.g., Gazebo, Carla) to create reproducible test scenarios for rapid validation of updates and new features.
  • Troubleshoot and debug issues related to sensor integration, data processing, and software-hardware communication to resolve failures quickly and ensure continuous system improvement.
  • Collaborate with software and hardware teams to optimize system performance and address integration challenges, particularly for sensors like Lidar, radar, cameras, and GPS.
  • Analyze and interpret large volumes of test data to identify trends, optimize system performance, and contribute to root-cause analysis.
  • Automate testing and validation workflows, leveraging tools such as Jenkins or custom Python scripts to improve testing efficiency and reliability.

Requirements

  • Bachelor's or Master's degree in Robotics, Electrical Engineering, Computer Science, or a related field.
  • 4+ years of experience in testing, validation, and integration of autonomous or robotic systems, preferably in an autonomous vehicle or transportation environment.
  • Strong proficiency in ROS/ROS2, C++, and Python, with solid understanding of robotic perception, sensor fusion, and navigation systems.
  • Familiarity with simulation tools (Gazebo, Carla) and hardware-in-the-loop (HIL) testing techniques.
  • Hands-on experience with sensors commonly used in autonomous vehicles, such as Lidar, radar, cameras, and IMUs, including calibration and troubleshooting.
  • Experience in data analysis and performance optimization, with the ability to interpret logs and create reports for system-level improvements.
  • Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced, team-oriented environment.

Nice-to-haves

  • Experience with CI/CD workflows and test automation for robotics or autonomous vehicle systems.
  • Knowledge of machine learning and perception algorithms used in autonomous driving.
  • Background in data logging, data processing, and big data analysis for autonomous systems testing.
  • Experience with Linux, Docker, Git, and other tools for robotics development and deployment.
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