Field Applications Engineer — AI/ML & Embedded Compute

Intellectual Capital Resources Ltd

Zürich

Vor Ort

CHF 110.000 - 150.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Intellectual Capital Resources Ltd is seeking a Field Applications Software Engineer to bridge AI/ML workloads and our compute-in-memory technology. You will analyse complex workloads, implement them on our platform, and benchmark performance for real-world customer use cases.

You will develop proofs of concept and run technical workshops, translating research papers into practical software solutions while collaborating across engineering and customer teams.

Qualifikationen

  • 3+ years’ relevant industry or research experience or equivalent advanced technical background.
  • Hands-on experience with PyTorch or TensorFlow.
  • Good understanding of computer architecture, SoCs or embedded software.
  • Ability to turn technical papers and specs into practical implementations.
  • Strong analytical, problem-solving and technical communication skills.
  • Comfortable engaging with customers and engineering teams.

Aufgaben

  • Analyse AI, signal-processing and other workloads and implement them on the company’s technology.
  • Benchmark performance and energy efficiency; use results in customer engagements and product development.
  • Develop proofs of concept and contribute to technical workshops.
  • Help customers understand how the technology can be integrated into their products.
  • Work hands-on at the intersection of AI/ML, embedded systems and software with customers.

Kenntnisse

Machine Learning
Deep Learning
AI Architectures
Embedded Software
Problem Solving
Technical Communication
Cross-functional Skills

Ausbildung

Computer Science
Electrical Engineering
Machine Learning
Physics
Mathematics
Engineering

Tools

PyTorch
TensorFlow

Jobbeschreibung

Intellectual Capital Resources Ltd is seeking a Field Applications Software Engineer to bridge AI/ML workloads and our compute-in-memory technology. You will analyse complex workloads, implement them on our platform, and benchmark performance for real-world customer use cases.

You will develop proofs of concept and run technical workshops, translating research papers into practical software solutions while collaborating across engineering and customer teams.

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