Job Description
Salary Range- $170,000- $250,000
Key Responsibilities
- We are looking for a talented Robotics Integration and Testing Engineer to join our autonomous vehicle team. In this role, you will play a key part in integrating, validating, and testing autonomous systems, ensuring safe and reliable performance across a range of challenging real-world environments. Your work will directly support the scaling and deployment of our autonomous vehicle fleet, impacting transportation and logistics worldwide.
- This role is onsite at our Santa Clara, CA office.
- 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.
Ready to Apply?
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