Join our team as a Custom Software Engineer, focusing on developing sophisticated software solutions. You will design, code, and refine components across various systems and applications. Leveraging modern frameworks and agile methodologies, you'll deliver scalable, high-performance solutions precisely tailored to meet unique business needs. This role involves deep engagement with embedded product verification and validation.

As a key player, you'll interface across testing, validation, integration, and requirements management. Collaboration with global team members is essential. You will contribute actively to growing the testing team, focusing on test development, execution, environment management, and providing technical mentorship.

Responsibilities include crafting robust test strategies, defining new test cases, and implementing automated test suites. You will meticulously analyze test results, collaborate with technical experts to interpret findings, and optimize testing processes. A significant part of the role involves testing infotainment system features like Media, Bluetooth, Wi-Fi, and Navigation, working closely with customers and process partners.

This position requires a minimum of 7 years of experience in testing and validation within the automotive sector, with a strong emphasis on Embedded Product Verification & Validation. Proficiency in test automation using languages such as Python or C# is essential. Hands-on experience assembling a Hardware-in-the-Loop (HIL) test bench and comfort working with hardware and electrical components are necessary. Deep knowledge of Vector tools like CANoe and CANape, along with experience in Confluence, Jira, and DOORs, is expected. Familiarity with Ethernet, CAN, and LIN protocols, as well as system and subsystem knowledge of Automotive ECUs, is crucial. Experience with requirement understanding, configuration management, bug tracking, and change management tools is also required. The role also demands experience in test strategy creation, test planning, and tooling enablement. Candidates should be adept at providing guidance and mentoring to teams on technology usage. Excellent communication, analytical thinking, problem-solving, and debugging skills are vital. A well-established professional network and an independent, structured approach to work are highly valued.