[EMC] XC-HWP TAG Software Engineer (Python SW Dev) (1 year contract)
Posted 2 days ago
Job Description
Bosch Cross-Domain Computing & ADAS (XC-CP) Team develops high-quality, state-of-the-art Automotive Head Unit and Home Appliance Linux/Android-based systems.
Together with other Bosch locations worldwide, we provide software solutions for navigation, vehicle functions, autonomous driving, camera, and IoT features to the car marker. Our team also contributes to Bosch smart home & IoT solutions through SW delivery to Home Appliance products.
We are looking for talented Python Software Engineers with 2 to 5 years of experience to join our development team.
As an experienced Software Developer with strong software engineering expertise, you will join the team to develop and deliver new automated testing features and solutions for OEM projects.
Working closely with Bosch locations worldwide, we provide automation test solutions for both hardware and software validation.
Key Responsible
- In your role, you design and develop new features/libraries of automation test framework.
- Furthermore, you communicate with stakeholders to gather new requirements and support them in using the automation test framework.
Qualifications
Education:
- Completed university studies in computer science, software engineering or a comparable subject
Experience and Knowledge:
- Associates must be fit in OOP, async communication protocols.
- Have knowledge and experience on distributed systems.
- Demonstrated understanding and interest ranging from low-level GPIOs to high-level web architectures, including Electron, …
- Have knowledge and experience in at least one programming language such as C++, Python. Python experience is an advantage.
- Additionally, testing knowledge is also mandatory and having experience on CI/CT is an advantage.
Language:
- Good communication skills in written and spoken English.
Additional Information
Further details regarding benefits will be shared during the interview process.
Other open roles at Bosch Group(6)
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Key team members

Prof. Dirk Slama

Susan Schwarze (PhD)

Karen Folger

Kai Hackbarth
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