We are looking for a QA and automation Lead to take ownership of quality assurance in a fast-paced, multidisciplinary R&D environment at the core of sensing and perception technologies. This is a leadership role with matrix responsibility across multiple Scrum teams, supporting software, hardware, and algorithmic components. This role is ideal for a hands-on QA expert who thrives in both technical implementation and cross-functional leadership. You should feel equally comfortable writing Python automation scripts, defining test plans, and driving quality across multiple teams.

What You’ll Be Doing:

· Lead QA activities across all components in the system: HW, SW, and Algorithms

· Provide matrix QA leadership to developers and QA referents within Scrum teams

· Design, develop, and execute automated and manual tests for regression, performance, and functionality using Python-based frameworks

· Define test strategies, implement tests for new features, including validation protocols

· Build and maintain Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) platforms from the ground up, in collaboration with Systems Integration, Perception, and Sensor teams

· Support the release process, including version control, CI/CD pipeline integration, and post-release validation

· Debug issues in close collaboration with R&D team members, including root cause analysis and bug fix validation

Requirements:

· B.Sc. in Computer Science, Electrical Engineering, or Software Engineering

· 5+ years of QA and automation experience in a multidisciplinary product environment

· Proven experience leading QA activities with matrix responsibility across teams

· Proven hands-on experience in test automation using Python, working in Linux-based environments, with solid understanding of Docker/containers for testing and deployment

· Practical experience with CI/CD tools such as Jenkins, GitLab, and Jira, including release management workflows

· Proficient in ROS, Embedded Linux, TensorFlow, PyTorch, C/C++

· Familiarity with hardware-software validation of embedded systems, radars, cameras, and perception-based technologies is highly preferred