Intern (f/m/d) Agentic AI Software Engineer at NXP Semiconductors
München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

02 Dec, 25

Salary

0.0

Posted On

02 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Software Development, Linux, Git, Testing

Industry

Information Technology/IT

Description

INTERN (F/M/D) AGENTIC AI SOFTWARE ENGINEER

Are you fascinated by the evolving landscape of agentic AI and are eager to explore the potential of this technology in real-world scenarios? Do you want to contribute to cutting-edge research and development in AI while gaining hands-on experience in a high-tech environment? Then join the Artificial Intelligence Competence Center at NXP, and help shape the future of intelligent systems.

PREFERRED SKILLS:

  • Very Good Understanding of AI/ML concepts (including LLMs and Agentic AI) and experience with libraries such as PyTorch or TensorFlow.
  • Familiarity with agentic AI frameworks and orchestration tools (e.g., LangChain, LlamaIndex, Google ADK, etc.).
  • Experience with Python and software development best practices (e.g., modular design, testing).
  • Basic knowledge of Linux & Git.
  • Experience with edge AI deployment (e.g., TFLite, ONNX) is a plus.
Responsibilities

At the AI Competence Center, we are looking for a student passionate about agentic AI systems and their application on edge-born use-cases. You will be part of a team conducting innovation on Agentic EDGE AI and your work will involve implementing representative use-cases across different frameworks and benchmarking their performance, modularity, and integration potential with embedded systems.

Your tasks will include but will not be limited to:

  • Designing and implementing use-cases across multiple agentic AI frameworks.
  • Evaluating framework capabilities in terms of modularity, scalability, and edge readiness.
  • Documenting findings and contributing to internal knowledge bases and tooling.
  • Collaborating with team members to identify promising directions for future development.
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