We are looking for a skilled AI Software Engineer to contribute to two core areas: the development of advanced features for our products and the strategic implementation of AI to enhance our departments operational efficiency. This role is crucial for both our product innovation and our internal working environment.
Core Responsibilities:
- Realize functions based on advanced signal processing and embedded AI.
- Build demonstrators and prototypes including embedded software embedded AI algorithms training data acquisition and integration into the R&D pipeline.
- Iteratively scale these up to functions in rugged mass-production scale products ensuring integration of the approach into the target ecosystem.
- Define plan and conduct data campaigns under lab and real-world (in-field) conditions.
- Co-work with data engineers / MLOps teams to tailor the automated cloud-based end-to-end development infrastructure for SW/ML-engineering tasks.
- Advise small teams of engineers.
Contributing to our department AI strategy:
- Actively support the department by identifying conceptualizing and developing AI-driven tooling and solutions that streamline processes and enhance overall efficiency.
Qualifications :
- Master in electrical engineering computer science physics or similar
- Ability to work in a broad field of technologies (embedded engineering electronics and embedded systems SW-development and state of the art toolchains signal-processing ideally with IMUs)
- Willing to provide guidance to less experienced colleagues and lead by content in these domains
- Good programming skills in both the embedded domain (µC environment C/C RTOS) and with scripting languages & ML frameworks (python TF pytorch sklearn)
- Experience with ML on embedded devices is a plus (TFlite TVM)
- Strong hands-on and problem solving mentality self-motivated structured both enthusiastic and rational about current AI trends and technologies
Additional Information :
Bosch offers you:
- Flexibility in your work- work time and working from home
- An agile development environment that is trust-based
- Room for creativity and initiatives
- Internal and external training opportunities as well as continuous learning
- Internal career opportunities
- Collective agreement
- Benefits and services: health checks employee discounts sports and health opportunities wellness contribution work-life balance
- Easy access to local public transport urban infrastructures rural surroundings and catering facilities
Why choose Bosch:
In 2022 for the third year in a row Bosch have received the Worlds Best Employer award from Forbes/Statista ranking us among the top 3% of the worlds most attractive employers.
At Bosch we believe that diversity is our strength. We look at diversity in gender generation nationalities and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.
Remote Work :
No
Employment Type :
Full-time
We are looking for a skilled AI Software Engineer to contribute to two core areas: the development of advanced features for our products and the strategic implementation of AI to enhance our departments operational efficiency. This role is crucial for both our product innovation and our internal wo...
We are looking for a skilled AI Software Engineer to contribute to two core areas: the development of advanced features for our products and the strategic implementation of AI to enhance our departments operational efficiency. This role is crucial for both our product innovation and our internal working environment.
Core Responsibilities:
- Realize functions based on advanced signal processing and embedded AI.
- Build demonstrators and prototypes including embedded software embedded AI algorithms training data acquisition and integration into the R&D pipeline.
- Iteratively scale these up to functions in rugged mass-production scale products ensuring integration of the approach into the target ecosystem.
- Define plan and conduct data campaigns under lab and real-world (in-field) conditions.
- Co-work with data engineers / MLOps teams to tailor the automated cloud-based end-to-end development infrastructure for SW/ML-engineering tasks.
- Advise small teams of engineers.
Contributing to our department AI strategy:
- Actively support the department by identifying conceptualizing and developing AI-driven tooling and solutions that streamline processes and enhance overall efficiency.
Qualifications :
- Master in electrical engineering computer science physics or similar
- Ability to work in a broad field of technologies (embedded engineering electronics and embedded systems SW-development and state of the art toolchains signal-processing ideally with IMUs)
- Willing to provide guidance to less experienced colleagues and lead by content in these domains
- Good programming skills in both the embedded domain (µC environment C/C RTOS) and with scripting languages & ML frameworks (python TF pytorch sklearn)
- Experience with ML on embedded devices is a plus (TFlite TVM)
- Strong hands-on and problem solving mentality self-motivated structured both enthusiastic and rational about current AI trends and technologies
Additional Information :
Bosch offers you:
- Flexibility in your work- work time and working from home
- An agile development environment that is trust-based
- Room for creativity and initiatives
- Internal and external training opportunities as well as continuous learning
- Internal career opportunities
- Collective agreement
- Benefits and services: health checks employee discounts sports and health opportunities wellness contribution work-life balance
- Easy access to local public transport urban infrastructures rural surroundings and catering facilities
Why choose Bosch:
In 2022 for the third year in a row Bosch have received the Worlds Best Employer award from Forbes/Statista ranking us among the top 3% of the worlds most attractive employers.
At Bosch we believe that diversity is our strength. We look at diversity in gender generation nationalities and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.
Remote Work :
No
Employment Type :
Full-time
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