Internship in Embedded AI Compiler Analysis
Internship in Embedded AI Compiler Analysis
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- During your internship you will deploy machine learning algorithms to embedded devices and evaluate their performance.
- Specifically you will analyze the capabilities and limitations of both open source compilers and commercial compilers with respect to optimizing workloads that regularly occur in neural networks. This will be done by benchmarking the generated binary on the target hardware as well as by reviewing the generated assembler code.
- Last but not least you will be in close communication with product development teams to clarify technical requirements and identify customer needs.
Qualifications :
- Education: master studies in the field of Electrical Engineering Computer Science/Engineering Physics Mathematics or comparable
- Experience and Knowledge: in the areas of embedded systems and machine learning / deep learning; programming experience in Python and C; experience in Assembler is an advantage
- Personality and Working Practice: you are a communicative motivated and creative person who can work independently as well as in a team; you are also highly structured in your approach to tasks and responsibilities
- Enthusiasm: enthusiastic about artificial intelligence; interest in software and system development; enjoy experimenting with prototypes
- Languages: business fluent in written and spoken English; German is a plus
Additional Information :
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV transcript of records enrollment certificate 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 all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Sebastian Boblest (Functional Department)
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
