Inter in AI on Edge Devicies
Inter in AI on Edge Devicies
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1 Vacancy
Job Description
Our areas of activity are Aerospace Defense & Security Big Science Biotechnology and Fintech.
ARQUIMEA Research Center (ARC) part of ARQUIMEA was born in 2019 with the aim of inventing the technologies of tomorrow. An environment of innovation and excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socioeconomic growth in the medium and long term.
Were looking for candidates with a bachelors degree in engineering or computer sciencewho are currently pursuing a masters degree in a field related to artificial intelligence.
This internship offers the chance to engage with these challenges firsthand. Through handson work with cuttingedge hardware and model optimization techniques youll contribute to the development of more efficient robust and portable AI solutions for deployment at the edge.
Internship Scope:
- Benchmark Edge AI Hardware Acceleration Platforms 23 months)
Explore the capabilities and tradeoffs of leading AI acceleration platforms. Youll deploy stateoftheart neural network architectures run edgeoptimized models and benchmark performance across various hardware solutions. This will provides crucial insights into how different platforms handle realworld AI workloads helping to guide decisions for specific edge applications. - Contribute to CrossPlatform Quantization Solutions 23 months)Dive into the challenges of quantization for edge AI. Contribute to the research of new methodologies to develop strategies to decouple quantization from hardwarespecific tools enabling more flexible and efficient model deployment across platforms. Your work will support more robust and costeffective AI applications in realworld edge scenarios.
What Youll Learn:
- How edge AI systems work and what makes them unique.
- Deployment of deep learning models on real embedded hardware.
- Evaluation of performance and efficiency tradeoffs.
- Challenges and innovations in model quantization and compression.
Required Skills:
- Background in deep learning concepts and frameworks.
- Comfortable working with Python.
- Solid analytical and problemsolving abilities.
- A proactive attitude and the ability to work independently when needed
NicetoHave Skills
- Familiarity with Docker and containerization.
- Background in IoT or embedded systems.
- Understanding of neural network optimization and compression techniques.
* Please apply only if you are eligible to sign an internship agreement between your university and ARQUIMEA.
Think Big Do the Job & Enjoy Life
At ARQUIMEA we value diversity and inclusion. We do not discriminate on the basis of race color religion gender sexual orientation gender identity national origin age disability or other protected factors by law. All candidates will be considered equally based on their skills and experience
Employment Type
Full Time
