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NxpSoftware Engineer - Edge AI
Beijingonsitemid
Posted today · via Workday
About this role
The AI Platform / Infrastructure role focuses on enabling the development, deployment, and operation of artificial intelligence solutions across the organization. It designs and maintains AI platforms, pipelines, and tooling to support scalable, reliable, and governed use of machine learning and AI systems. Responsibilities: Develop and optimize Embedded ML inference engines for microcontrollers. Train and fine-tune machine learning models using TensorFlow and PyTorch to be deployed on resource-constrained devices. Implement and experiment with techniques to improve model performance on low-power and memory-limited devices. Collaborate with cross-functional teams to integrate ML solutions into embedded systems.…
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: c++, pytorch, tensorflow, 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 Beijing. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
c++pytorchtensorflowteams
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