Intern (f/m/d) Agentic AI for Signal Processing in Embedded Systems

NXP Semiconductors NV; München; Hybrid; EUR 20.000 - 27.000; Vollzeit

Benefits dieser Stelle

Monthly salary included

Flexible working hours

Hybrid work setup

On-site cafeteria access

Networking groups and ERGs

Zusammenfassung

NXP Semiconductors NV in Munich seeks a student intern to explore Agentic AI techniques for DSP/ASIC architectures. You will prototype AI agents, analyze ISA documentation, and evaluate code generation workflows for embedded compute platforms.

You will collaborate with experienced engineers, gain hands-on experience in applying AI-driven approaches to semiconductor development, and work in a hybrid setup with access to on-site amenities.

Qualifikationen

• Studies in Computer Science, Electrical Engineering, or related field.
• Basic knowledge of Python and C++.
• Interest in AI, compilers, embedded systems, or machine learning.
• Strong analytical and problem-solving skills.

Aufgaben

• Investigate state-of-the-art AI and compiler technologies.
• Develop prototypes for code generation and optimization documentation.
• Work with MLIR, LLVM, ONNX, and embedded toolchains.
• Automate analysis, validation, and performance evaluation workflows.
• Document findings and present results to engineering teams.

Ausbildung

Computer Science or Electrical Engineering or related field

Tools

MLIR

LLVM

ONNX

Embedded toolchains

Jobbeschreibung

Support the exploration and prototyping of Agentic AI techniques for proprietary DSP and ASIC architectures. Contribute to researching compiler technologies, analyzing ISA documentation, developing proof-of-concept AI agents, and evaluating code generation and optimization workflows for embedded compute platforms. You will work closely with experienced engineers and gain hands-on experience in applying AI-driven approaches to real-world semiconductor development challenges.

Responsibilities

• Investigate state-of-the-ojat agantic AI and compiler technologies.
• Develop prototypes for documentation-assisted code generation and optimization.
• Work with MLIR, LLVM, ONNX, and embedded toolchains.
• Automate analysis, validation, and performance evaluation workflows.
• Document findings and present results to engineering teams.

Requirements

• Studies in Computer Science, Electrical Engineering, or related field.
• Basic knowledge of Python and C++.
• Interest in AI, compilers, embedded systems, or machine learning.
• Strong analytical and problem-solving skills.

Nice to have

• Experience with LLVM/MLIR, ONNX, MATLAB, or embedded DSP development.
• Familiarity with machine learning model deployment and performance optimization.

What We Offer:

• An attractive monthly salary
• Flexible working hours
• The possibility to work in a hybrid setup
• Access to an on-site cafeteria
• Networking initiatives and Employee Resource Groups such as Young Community, No Extra Planet, NXP Equal, Women in NXP, and more - fostering both professional and personal exchange

Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.

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