Aurora, a leading self-driving technology company, is seeking a Software Engineer II for their Test Automation Engineering team. This role is crucial in developing and maintaining test automation infrastructure for hardware and firmware verification across Aurora's product lifecycle. The position is based in Mountain View, California, offering a competitive salary range of $139,000-$223,000.
The role sits within Aurora's hardware organization, where you'll be part of a team responsible for creating and supporting test automation software infrastructure. The framework you'll work with handles test deployment, UI, sequencing, logging, results and data visualization, and other aspects of automated hardware and firmware V&V. Your work will support various teams including Electrical Validation, Manufacturing Test, Vehicle Integration, Hardware Reliability, and Firmware Validation.
As a Software Engineer II, you'll be architecting and implementing software framework features, developing automated test cases for automotive electronics, and driving improvements in test coverage and reliability. The position requires strong Python programming skills and experience in hardware/software development and testing. The ideal candidate should have a B.S. in Computer Science or related field with 2 years of experience, or an M.S. in a relevant field.
Aurora's mission is to deliver self-driving technology safely and broadly, creating a new era in mobility and logistics. The company offers an environment where you'll work alongside passionate, intelligent individuals on complex problems while growing your expertise. Aurora values diversity and inclusion, considering candidates regardless of background while maintaining a culture of integrity and collaborative success.
This role presents an excellent opportunity for someone interested in the intersection of software engineering and autonomous vehicle technology, offering the chance to work on cutting-edge automation systems while contributing to the future of transportation. The position combines technical challenges with real-world impact, making it ideal for engineers who want to shape the future of autonomous driving technology.