- During your assignment you will develop Python-based automation solutions to collect and analyze ASIC project metrics (e.g. design and specification complexity simulation data synthesis results verification coverage regression quality).
- You will integrate your tools into Linux-based development environments.
- Furthermore you will use AI-assisted detection methods to uncover anomalies and identify optimization opportunities.
- You will contribute to dashboards that help hardware and software teams make fast data-driven decisions.
- Finally you will collaborate with ASIC designers verification engineers and project leads.
Qualifications :
- Education: studies in the field of Software Engineering Computer Science Electronics or comparable
- Experience and Knowledge: strong Python skills; confidence working in Linux environments; experience in ASIC design flows hardware development or EDA tools is a plus
- Personality and Working Practice: you excel at proactively identifying challenges quickly learning new approaches and transforming complex issues into elegant solutions
- Work Routine: presence at the location is required
- Enthusiasm: interest in AI data analytics automation and performance optimization
- Languages: very good in English
Additional Information :
Start: according to prior agreement
Duration: 6 months 15 h/week
Requirement for this working student position is the enrollment at university. Please attach your CV transcript of records enrollment certificate and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Jürgen Ruf (Functional Department)
Rafal Baranowski (Functional Department)
49 152
#LI-DNI
Work #LikeABosch starts here: Apply now!
Remote Work :
No
Employment Type :
Part-time
During your assignment you will develop Python-based automation solutions to collect and analyze ASIC project metrics (e.g. design and specification complexity simulation data synthesis results verification coverage regression quality).You will integrate your tools into Linux-based development envir...
- During your assignment you will develop Python-based automation solutions to collect and analyze ASIC project metrics (e.g. design and specification complexity simulation data synthesis results verification coverage regression quality).
- You will integrate your tools into Linux-based development environments.
- Furthermore you will use AI-assisted detection methods to uncover anomalies and identify optimization opportunities.
- You will contribute to dashboards that help hardware and software teams make fast data-driven decisions.
- Finally you will collaborate with ASIC designers verification engineers and project leads.
Qualifications :
- Education: studies in the field of Software Engineering Computer Science Electronics or comparable
- Experience and Knowledge: strong Python skills; confidence working in Linux environments; experience in ASIC design flows hardware development or EDA tools is a plus
- Personality and Working Practice: you excel at proactively identifying challenges quickly learning new approaches and transforming complex issues into elegant solutions
- Work Routine: presence at the location is required
- Enthusiasm: interest in AI data analytics automation and performance optimization
- Languages: very good in English
Additional Information :
Start: according to prior agreement
Duration: 6 months 15 h/week
Requirement for this working student position is the enrollment at university. Please attach your CV transcript of records enrollment certificate and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Jürgen Ruf (Functional Department)
Rafal Baranowski (Functional Department)
49 152
#LI-DNI
Work #LikeABosch starts here: Apply now!
Remote Work :
No
Employment Type :
Part-time
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