Why Aidoptation?

At Aidoptation, we work on the hardest problems in autonomous driving: high-speed, safety-critical scenarios where precision and robustness matter. Our technology is proven at racing speeds and translated into real-world highway autonomy. To succeed, we recruit the best engineers globally. We receive a high volume of applications and referrals and select for excellence and commitment alongside deep technical competence.

What You Will Do

You will build and maintain core software infrastructure for our autonomy stack, developing robust C++ and Python components that support planning, localization, control, testing, and vehicle operations. The role requires strong software engineering fundamentals and the ability to turn algorithmic requirements into clean, scalable, and production-ready systems. You will contribute across ROS 2 nodes, interfaces, and integration patterns, with a focus on creating software that is easy to understand, reliable to operate, and straightforward to extend.

You will improve the performance and maintainability of the codebase through profiling, architecture improvements, test strategy, and disciplined interface design. You will help strengthen engineering quality by expanding CI, regression, and replay-based validation, enabling safer releases and faster iteration across both simulation and on-vehicle environments. In addition, you will support deployment, debugging, and developer tooling, making it easier to investigate issues, reproduce failures, and maintain confidence in system behavior across releases. Over time, you will own critical components used across the autonomy organization and drive measurable gains in reliability, test coverage, developer productivity, and software quality. Occasional travel may be required based on test campaigns.

Requirements

Must-Haves

• MSc in Software Engineering, Computer Science, Robotics, or similar.

• 3+ years of professional software development experience.

Nice-to-Haves

• Experience with containers, CI/CD, and build systems.

• Exposure to real-time, safety-critical, or robotics systems.

• Experience building internal tooling for logging, replay, and regression.

• Familiarity with performance profiling on embedded or accelerated hardware.