Working Student (f/m/d) Embedded AI/ML Software Engineering

Updated: about 1 month ago
Job Type: PartTime
Deadline: 11 Apr 2024

13 Mar 2024
Job Information
Organisation/Company

NXP
Research Field

Computer science
Researcher Profile

Recognised Researcher (R2)
Country

Germany
Application Deadline

11 Apr 2024 - 00:00 (UTC)
Type of Contract

To be defined
Job Status

Part-time
Hours Per Week

To be defined
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Are you excited about the latest developments in AI, and you are ready for a new challenge working on deploying AI/ML for Medical IoT? Do you want to contribute to "real world" applications and gain experience in the development of innovative ideas? Then you will want to be a part of the rising Artificial Intelligence Competence Center at NXP, a leading semiconductor company.

Key responsibilities:

At the AI Competence Center, we are looking for a student passionate about applying AI/ML for Medical IoT. Leverage your creativity for implementing new, fun, and innovating ways of deploying AI/ML for medical systems in one of our light-house projects. During this time, our team members will support you to analyze, understand, and integrate a system demonstrator enhanced by AI/ML for a Medical IoT use case. You will work on enabling AI/ML on hardware and the integration of said hardware into an embedded system to showcase an end-to-end pipeline. In the project, you will learn to push your embedded software development and AI/ML skills further. Your tasks will include but are not limited to:

  • Benchmarking AI/ML on different (virtual) microcontrollers
  • Integrating AI/ML in a hardware accelerator
  • Integrating the hardware accelerator into an embedded system for a Proof-of-Concept (PoC) demonstrator

Preferred skills:

  • Practical experience with embedded software development (C/C++ & Python)
  • Some experience with AI/ML (e.g., scikit-learn, PyTorch, TensorFlow, or Jax)
  • Basic knowledge of Linux & Git
  • Hands-on experience with deployment of AI/ML on embedded hardware (e.g., through TFLite (Micro), ONNX, Apache TVM, etcetera) is a plus

Your profile:

  • Currently pursuing a bachelor's or master's degree in Electrical Engineering, Computer Science, Machine Learning, or a related field
  • Affinity with the Medical IoT domain
  • Strong critical & analytical thinking with the capability to work independently
  • Excellent English communication skills for interaction with our multinational team across multiple sites
  • Looking for a challenging position in a leading Edge AI high-tech company

More information about NXP in Germany...


Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
NXP
Country
Germany
Geofield


Where to apply
Website

https://illbeback.ai/job/working-student-f-m-d-embedded-ai-ml-software-engineer…

STATUS: EXPIRED

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