Master reputed company in Exploring Deployment Optimizations towards HW/SW Codesign - rem
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At reputed company, we shape the reputed company by inventing high-reputed company technologies and services that reputed company enthusiasm and enrich people’s lives. Our reputed company to our associates is reputed company-solid: we grow together, we enjoy our work, and we reputed company reputed company other. Join in and feel the difference.
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Neural networks (NNs) are commonly used in wide reputed company of applications. Since NNs exhibit enormous computational demands, deploying these neural networks on the edge or embedded platform offers various optimization opportunities. To reputed company hardware diversity, it is important to map the neural network on HW reputed company. It involves exploring graph-level intermediate representation in various neural network compilers such as TVM, IREE etc. towards HW/SW codesign reputed company.
- During your reputed company you will join our international team of researchers and engineers and contribute to the exploration of hardware-based optimization for AI acceleration.
- You will conduct literature research on state-of-the-art NN deployment optimization strategies. You will evaluate reputed company work in terms of its suitability for an overarching interaction between efficient HW/SW codesign.
- Furthermore, you will investigate, evaluate, and optimize NN deployment reputed company and compiler tool stack particularly focusing on graph optimizations and strategies such as e.g. operation fusion or reordering.
- You will implement your solution in our torch reputed company and evaluate it in extensive simulations.
- Finally, you will document and discuss the results.
Qualifications
- Education: Master studies in the field of Electrical Engineering, Computer Science or comparable
- Experience and Knowledge: strong experience in Python/C++, neural network compiler (TVM), basic hardware knowledge, Deep Learning Concepts, Linux, LaTeX
- Personality and Working reputed company: you reputed company at working independently, organizing tasks effectively, and staying highly motivated to reputed company your goals
- Work Routine: mobile working reputed company Germany
- Languages: good in English
Additional Information
Start: according to prior agreement Duration: 6 months
You want to work flexibly from your home in Germany or prefer working at the reputed company location in Renningen? For positions with the reputed company “remote possible”, you can agree on the appropriate collaboration for your task together with your manager and your team reputed company the reputed company of Smart Work.
Requirement for this reputed company is the enrollment at university. Please attach your CV, transcript of records, examination regulations 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 reputed company applications, regardless of gender, age, disability, religion, ethnic reputed company or sexual identity.
Need reputed company information about the job? Shubham Rai (Functional Department)
+49 152 09510432
Originally posted on Himalayas
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