Aurora is at the forefront of self-driving technology, developing the Aurora Driver to revolutionize transportation and logistics. The Test Automation Engineering team, situated within Aurora's hardware organization, plays a crucial role in creating and maintaining test automation software infrastructure for hardware and firmware verification and validation across the product lifecycle.
As a Software Engineer II in Test Automation Engineering, you'll join a team of highly motivated engineers working on a scalable automation framework that supports various testing use cases including Electrical Validation, Manufacturing Test, Vehicle Integration, Hardware Reliability, and Firmware Validation. The framework handles test deployment, UI, sequencing, logging, results and data visualization, and other automated hardware and firmware V&V needs.
The role combines software engineering expertise with hardware testing knowledge, requiring proficiency in Python programming and experience in hardware/software development. You'll be responsible for architecting and implementing framework features, developing automated test cases, and improving test coverage and reliability. The position offers an opportunity to work on cutting-edge automotive electronics and contribute to Aurora's mission of delivering safe self-driving technology.
Working at Aurora means joining a team of talented individuals united by strong values, operating with integrity and setting ambitious goals. The company offers competitive compensation, including a base salary range of $126,000-$201,000, along with bonus potential and equity compensation. Aurora values diversity and inclusion, considering candidates regardless of background and providing reasonable accommodations as needed.
This role is perfect for someone who enjoys the challenge of building robust test automation systems, has a strong software engineering background, and is excited about contributing to the future of autonomous transportation. The work directly impacts Aurora's ability to scale its hardware organization and ensure the quality and reliability of its self-driving technology.