Software Quality Assurance Automation Engineer

• Analyse product requirements and define validation strategies, test cases and acceptance criteria.

• Design and execute functional, integration and regression tests for embedded software and motor control systems.

• Develop and maintain automated testing frameworks, reusable test components and supporting software tools.

• Build and improve test benches, instrumentation and simulation environments to ensure reliable, repeatable results.

• Introduce and improve continuous integration, static analysis and automated test execution.

• Analyse results, investigate software and communication issues, and work with development teams to resolve defects.

• Prepare validation reports, maintain technical documentation and share knowledge with the team.

• Collaborate with software, electronics, quality, product engineering and manufacturing teams across headquarters and subsidiaries to support product releases.

• A degree in Electronic, Telecommunications or Computer Engineering, or an equivalent technical qualification.

• At least 2 years of experience in embedded software validation, test automation or a similar role.

• Hands-on experience developing testing tools or test infrastructure.

• Programming skills in C, C++ and Python for test automation and software tools.

• Knowledge of CAN, CANopen and LIN, including protocol analysis and troubleshooting.

• Experience with laboratory instrumentation, data acquisition and interpreting electronic schematics.

• Familiarity with version control, collaborative development and structured technical documentation.

• Advanced Spanish and English.

• An analytical approach, initiative and the ability to work independently while collaborating closely with software and hardware engineers.

VALUABLE KNOWLEDGE

You don’t need experience with every tool below, but familiarity with any of these would be a plus:

• Automotive software development or validation.

• Vector CANoe, vTESTstudio, or comparable validation tools.

• LabVIEW and National Instruments platforms, including CompactRIO.

• CI pipelines, static analysis, unit testing, simulation and mocks; TeamCity or similar platforms.

• Bitbucket, Jira and Confluence, or equivalent tools.

• Arduino and Raspberry Pi for laboratory tools and demonstrators.

• CAN J1939, UDS, ISO 26262 and V-Model development and validation practices.

• Full-stack web development, including modern frontend frameworks, REST APIs and relational databases.