Edge Models Optimization Research Engineer
Pisaonsitemid$54K – $65K
Posted 1w ago · via Teamtailor
About this role
Position Summary: Huawei’s Pisa Research Institute is a core innovation hub in the field of automotive software and embedded systems. We are looking for a highly motivated researcher to join our AI platform team and contribute to the development of next-generation models for intelligent vehicles and edge computing systems. The successful candidate will focus on post-training techniques, efficient Mixture-of-Experts (MoE) architectures, and deployment optimization on resource-constrained platforms. Working closely with system software, compiler, and hardware teams, the candidate will help bridge cutting-edge AI research and real-world automotive applications.…
Read the full description on Huawei Technologies Italia's site →
What we'd score you on
reqspace match rubricFive 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: pytorch, teams
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 Pisa. 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.
pytorchteams
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