Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

At Bosch eBike, we are revolutionizing the cycling experience with award-winning eBike systems and innovative features. We are seeking a passionate and skilledSoftware Test & Automation Engineer to join our dynamic team and contribute to the quality, reliability, and safety of our cutting-edge products. If you have a keen eye for detail, a passion for problem-solving, and are eager to work with pioneering eBike technology, this is your opportunity to contribute to a world-leading brand.

Your Contribution to Something Big:

As a Software Test & Automation Engineer, you will play a crucial role in ensuring the exceptional quality and robustness of our eBike systems. You will contribute to this goal by:

• Designing and Implementing Robust Test Solutions: Developing and executing comprehensive tests, ranging from component to system level. This includes using programming languages such as Python, C#, and CAPL to create robust test scripts and functions.
• Driving Test Automation & Efficiency: Continuously seeking opportunities to automate testing processes to increase efficiency, coverage, and repeatability. This involves leveraging advanced techniques and tools, including exploring and integrating Generative AI capabilities for tasks like test case generation, test data creation, or intelligent defect analysis.
• Test Execution & Analysis: Performing in-depth analysis of test results, debugging issues, and conducting root cause analysis for failed tests.
• Quality Assurance & Improvement: Actively contributing to software requirement reviews, ensuring testability and clarity of specifications. Driving bug reporting, issue tracking, and defect documentation processes.
• Tooling & Infrastructure: Commissioning and debugging test functions on software test benches, leveraging industry-leading tools like Vector CANoe and vTESTstudio, alongside version control and CI/CD platforms (Git, GitHub, Jira, Jenkins).
• Documentation & Reporting: Creating clear, structured, and detailed test reports for executed software tests.
• Continuous Improvement: Actively supporting the continuous improvement of test strategies, quality processes, and overall product quality, with an eye towards cutting-edge technologies.

As a Software Test & Automation Engineer in this project, you can contribute to multiple areas or focus on single areas such as python-scripting testing development, test infrastructure or manual cycle tests execution.

Qualifications What distinguishes you:

Education:

• Master’s degree in Embedded Systems, Electronics Engineering, Computer Science/Engineering, Mechatronics, Physics, or a closely related technical field. Equivalent practical experience is equally valued.

Experience:

• Proven experience in software testing, test automation, or system validation, ideally within an embedded systems environment.
• Familiarity with continuous integration, quality assurance workflows, and requirements management processes.
• Practical experience or strong interest in applying AI/ML, especially Generative AI, for enhancing test processes is a plus.
• Hands-on experience with debugging tools (e.g., Lauterbach) is a plus.
• Knowledge of functional safety standards (e.g., ISO 26262, ISO 13849/FUSI) is a significant advantage.
• ISTQB Foundation level certification is also a plus.

Know-how: