Senior AI Engineer: Embedded ML for Devices

Leica Geosystems AG; Lavamünd; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Vacation days

Hybrid model

Bonus program

Pension plan

Training opportunities

Relocation assistance

Discounts

Employee events

International culture

Zusammenfassung

Hexagon Innovation Hub GmbH in Heerbrugg is seeking a Senior AI Engineer for Embedded Devices to lead end-to-end ML development for on-device products. You will design, train, and deploy models tailored to our hardware, optimizing inference for low-power accelerators.

Join an agile, global team and translate customer requirements into robust ML solutions, collaborating with product teams and ML professionals worldwide. A strong background in embedded software and ML is required.

Qualifikationen

• A university degree in computer science or artificial intelligence or a related field.
• 5+ years of experience with machine and deep learning techniques.
• Experience developing software for embedded devices is highly preferred.
• Proven experience training, evaluating, and deploying neural networks for on-device use.

Aufgaben

• Take responsibility for feature development end-to-end from inception to ML development and deployment.
• Design, develop and train ML models tailored to our hardware using state-of-the-art techniques.
• Implement low-level model inference optimizations to leverage on-device accelerators.
• Work in an agile environment, collaborating with product teams and ML professionals worldwide.

Kenntnisse

C-based languages

Python

Machine learning

Deep learning

Embedded software

Ausbildung

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

Jobbeschreibung

Hexagon Innovation Hub GmbH in Heerbrugg is seeking a Senior AI Engineer for Embedded Devices to lead end-to-end ML development for on-device products. You will design, train, and deploy models tailored to our hardware, optimizing inference for low-power accelerators.

Join an agile, global team and translate customer requirements into robust ML solutions, collaborating with product teams and ML professionals worldwide. A strong background in embedded software and ML is required.