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Sec

DNN Model optimization Expert Engineer

Phoenix Buildingonsitemid

Posted today · via Workday

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About this role

Position Summary We build accelerated runtime for on-device execution of GenAI LLM/LVM large models. Our aim is to create world’s best accelerated On-Device ML inference & training platform. Team focuses to identifying some of the best techniques to accelerate neural networks by utilizing the underlying SoC capabilities. Our technology is a fusion of both machine learning / deep learning & core system concepts. We have built the first version of neural acceleration platform in Samsung which is far ahead in terms of system KPIs in comparison with the other competitor platforms. We are now securing this area with key patents and working towards extending this to multiple others areas.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, c++

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Phoenix Building. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonc++

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