ADS Integration Engineer
AutoX is a global leader in self-driving car technology, driven by our mission to "Democratize Autonomy" and accelerate the advent of fully driverless cars. Our cutting-edge self-driving cars are designed to tackle the most complex and dynamic traffic environments, from bustling city streets to ever-changing urban landscapes. In 2020, we became the second company to secure a fully driverless passenger vehicle permit in California — a key milestone in autonomy. With a world-class team of engineers and R&D centers across the U.S. and beyond, AutoX continues to innovate.
Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.
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.
We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.
Locations:
- San Jose, California, US (Salary Range: $75k—$300k USD)
- Dubai, UAE
Responsibilities:
- 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.
Qualifications:
- 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.
Preferred Skills:
- 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.
How to Apply:
AutoX is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. AutoX does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law in the respected countries.