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Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>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. </strong><strong>Join in and feel the difference.</strong></p><p>The Robert Bosch GmbH<em> </em>is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><ul><li>During your Master thesis, you will evaluate new hardware accelerators for AI workloads using performance evaluation tools.</li><li>You will create and integrate new hardware accelerator models into the performance evaluation tools.</li><li>Furthermore, you will analyze the performance metrics of hardware accelerators and optimize them.</li><li>Last but not least, you will gain experience and work in a cross-functional team spanning algorithms, deployment and hardware.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education: </strong>Master studies in the field of IT, Electronics or comparable</li><li><strong>Experience and Knowledge: </strong>in electronics</li><li><strong>Personality and Working Practice: </strong>independent and motivated</li><li><strong>Languages: </strong>good in German or in English<strong> </strong></li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p><strong>Start:</strong> according to prior agreement<br> <strong>Duration:</strong> 6 months</p><p>Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.</p><p>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.</p><p><strong>Need further information about the job?</strong><br> Ahmet Erozan (Functional Department)<br> +49 711 811 32710</p><p>#LI-DNI<strong> </strong></p></div></section></div>

Master Thesis in Modelling and Evaluation of Hardware Accelerators

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