Research Engineer - Tools and Methods for Embedded AI System Design (f/m/div.)
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The Robert Bosch GmbH is looking forward to your application!
To efficiently deploy and execute (deep) neural networks on embedded systems, the right hardware target must be carefully selected, and the characteristics of each platform must be exploited and utilized. Mastering these disciplines is essential for successful embedded/Edge AI system design.
- In our team you scout and evaluate new hardware accelerators for AI workloads.
- You optimize and deploy neural networks for different hardware targets.
- Furthermore, you identify runtime performance bottlenecks for embedded systems, including the hardware platform, and toolchain stack.
- You develop methods and tools for deployment, optimization, and system analysis for heterogeneous SoCs in cloud-based setups.
- Last but not least, you gain experience and collaborate in a cross-functional team spanning algorithm, deployment, and hardware.
- Education: degree (PhD/Master) in the field of Computer Science, Computer Engineering, Information Technology, or comparable subject
- Personality and Working Practice: motivated, goal oriented, creative, innovative with the ability to work independently as well as within a team
- Experience and Knowledge:
- strong background in digital hardware, embedded systems as well as in SoC architectures
- experience with neural networks especially in the context of embedded systems
- very good skills in software programming (C, C++, Python)
- experience with deployment frameworks, compilers and system simulation, especially in cloud-based setups (Azure, AWS), is a plus
- Enthusiasm: keen interest in future technologies and trends with passion for innovation
- Languages: fluent in English, German is a plus
Help us Boosting Bosch with AI.
Apply today at the Bosch Center for Artificial Intelligence in just 3 minutes!
Please submit all relevant documents (CV, letter of motivation and certificates).
You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us.
Need support during your application?
Kathrin Stipak (Human Resources)
Need further information about the job?
Falk Rehm (Functional Department)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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