Working Student AI/ML For DSP On SoCs

TL;DR

Working Student AI/ML for DSP on SoCs: Supporting the optimisation of AI/ML models for digital signal processing, specifically in terms of performance and resource utilization on low-power System-on-Chips (SoCs). Focus on researching trends, evaluating toolchains, and assisting in performance analysis for AI/ML-based DSP tasks.

Location: Main place of work is Munich, mobile working is possible.

Company

hirify.global develops and produces solutions in Test & Measurement, Technology Systems, and Networks & Cybersecurity.

What you will do

• Support the optimisation of AI/ML models for digital signal processing in terms of performance and resource utilization on low-power System-on-Chips (SoCs).
• Research current trends and the possibilities of various low-power SoCs in the field of Edge AI/ML for DSP applications.
• Participate in the evaluation of various machine learning toolchains for the implementation on SoCs.
• Assist in estimating and comparing the maximum achievable performance through dedicated implementations.
• Conduct performance measurements on selected SoCs for AI/ML-based DSP tasks.

Requirements

• You are an enrolled student in computer science, informatics, electrical engineering, telecommunications or comparable field of studies
• You have a basic understanding of digital signal processing and digital communication.
• You have initial experience with Machine Learning and Deep Learning (AI/ML) technologies.
• You are proficient in Python and Matlab – you ideally have prior experience with frameworks such as TensorFlow, TensorRT, or ONNX.
• You are characterized by a structured approach to work, analytical thinking, and teamwork skills.
• You have very good written and spoken German and English skills.

Culture & Benefits

• Opportunities to work from home.
• Flexible working hour models.
• Attractive compensation.
• Training & continuing education.
• 30 days of vacation.
• Long-term & attractive work environment.