Senior Embedded AI Engineer - On-Device ML

Hexagon AB; Sankt Gallen; Hybrid; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Hybrid Working model

Generous bonus system

Relocation service

Employee events

Zusammenfassung

Hexagon AB is seeking a Senior AI Engineer for Embedded Devices to design, train and deploy ML models on our hardware, taking responsibility from inception to integration. You will work with global product teams to bring ML into sensors and devices.

A MSc or PhD in CS/AI is required, with 5+ years in ML and embedded software, including C and Python, and experience adapting models for resource-constrained platforms. Hybrid work and strong benefits are offered.

Qualifikationen

• A university degree (M.Sc. or D.) in computer science or artificial intelligence or a similar field.
• At least 5 years of experience with machine and deep learning techniques and preferably 5+ years of experience developing software for embedded devices.
• Proven experience in training, evaluation, and deployment of neural networks, covering all stages from data ingestion to model deployment.
• Good knowledge of ML exchange formats, runtimes, compilers and knowledge of adapting models for and deploying to embedded platforms.
• Solid background in developing with C-based languages and Python.
• Experience in obtaining and formalizing customer requirements and defining use cases.

Aufgaben

• Take end-to-end feature development from inception to deployment in products.
• Design, develop and train ML models for our hardware.
• Implement on-device model inference optimizations for accelerators.
• Collaborate with product teams and ML professionals worldwide in an agile environment.

Kenntnisse

Machine learning

Deep learning

Embedded software

Model deployment

Python

C

Requirements gathering

Ausbildung

M.Sc. or D. in computer science or AI

Tools

ML runtimes

Compilers

Embedded platforms

ML formats

Jobbeschreibung

Hexagon AB is seeking a Senior AI Engineer for Embedded Devices to design, train and deploy ML models on our hardware, taking responsibility from inception to integration. You will work with global product teams to bring ML into sensors and devices.

A MSc or PhD in CS/AI is required, with 5+ years in ML and embedded software, including C and Python, and experience adapting models for resource-constrained platforms. Hybrid work and strong benefits are offered.