Waldkirch: Internship / Thesis: Evaluating AI‑Ready Industrial PCs for Logistics

Winter Semester 2026/27 – Limited to 5-6 months

Help shaping the future of industrial sizing systems with us: As part of our R&D team, you’ll work to enable the next generation of our logistics sensor systems. Your role: Conducting a thorough analysis of current and future hardware platforms that enable real-time AI performance in industrial environments. In doing so, you’ll lay the groundwork for the hardware strategy of our upcoming product generations.

YOUR TASKS:

• Analysis of existing system variants: Evaluating current hardware architectures and determining current resource requirements.
• Research on AI inference in industrial environments: Investigating modern CPU, GPU, and AI accelerator technologies in terms of real-time capability, robustness, and industrial requirements.
• Deriving future hardware requirements: Developing robust recommendations for future industrial PC platforms based on your analyses.
• Focus: Real-time AI on embedded accelerators: Verifying whether existing models can run entirely on AI accelerators—including evaluation of latency and throughput.
• Evaluation of cost-optimized hardware solutions: Comparison of different platforms in terms of performance, robustness, and budget constraints.
• Structured documentation: Creation of clear and well-founded reports that support future decisions in R&D and procurement. 

YOUR PROFILE:

• Degree in computer science, electrical engineering, computer engineering, business informatics, or a related field.
• Interest in hardware-software co-design, embedded systems, or performance analysis.
• Initial practical experience working with computer hardware.
• Programming skills in Python or a similar programming language.
• Basic understanding of AI, machine learning, or edge computing (preferred: knowledge of inference engines or embedded hardware).
• Independent, structured, and reliable work ethic.
• Good written and spoken English skills.

Contact: Sarah Disch