We’re seeking talented and self-motivated software engineers to join our integration team. In this role, you play a crucial role in providing a reliable autonomous driving service to our customers.

• San Jose, California, US (Salary Range: $75k—$300k USD)
• Dubai, UAE

• Develop, document, and execute comprehensive requirements-based test and integration plans for a wide range of autonomy functions, ensuring robust validation and verification of system behaviors.
• Develop, document and execute requirements test plan in our simulation platform for various autonomy functions;
• Work closely with the systems engineering team to develop test methodologies, test plans, and measure coverage;
• Work closely with engineering teams to effectively communicate test results, analyze root cause, and drive iterative improvements to software quality.
• Perform detailed analysis of test results, log data, and system performance to identify issues, trends, and potential improvements.
• Create clear and concise documentation to summarize findings, highlight system gaps, and propose actionable recommendations.
• Conduct both simulation-based and real-world testing of autonomous driving behaviors, leveraging state-of-the-art tools and technologies to identify edge cases and evaluate system robustness.
• Ensure effective utilization of simulation environments to create scalable, repeatable, and efficient testing pipelines.

• Bachelor’s or Master’s degree in Robotics, Computer Science, Aerospace Engineering, Systems Engineering, Transportation Engineering, Physics, or a related technical field.
• 3+ years of experience in requirements testing, behavior validation, or functional testing for complex systems.
• Basic understanding of an autonomous driving system or a robotics system, including architecture, perception, localization, mapping, prediction, planning, and control modules.
• Proficiency in C++ programming for analyzing and debugging issues.
• Strong skills in documenting, analyzing, and presenting complex test results.
• Solid communication skills, capable of working effectively in cross-functional teams.
• Excellent algorithmic problem-solving abilities with an eye for edge cases and system bottlenecks.

• Prior experience in autonomous vehicle stack safety, validation, or certification processes.
• A strong foundation in system engineering principles, including requirements definition and formal verification/validation methodologies.
• Demonstrated ability to identify opportunities to enhance test processes and improve overall efficiency in a dynamic development environment.
• Highly collaborative in nature and capable of working with lots of cross-functional teams.