Intern - ML Inference Performance Engineer

Axelera AI is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.

In just five years, we have raised a total of $370 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 20 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.

We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.

Our unwavering commitment to innovation has firmly established us as a global industry pioneer.

Are you up for the challenge?

We're looking for a curious, rigorous engineer to join our team and dig into the performance of ML inference systems. You'll work across the full inference stack — from model export and compiler toolchains to runtime execution on silicon — to build a clear, evidence-based picture of how different platforms perform and why.

Your work will go beyond running benchmarks: you'll develop a repeatable evaluation methodology, investigate performance bottlenecks at the hardware and software level, and build the tooling that transforms raw measurements into actionable insight. The findings you produce can directly shape our product decisions.

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• Currently enrolled in the final years of a Bachelor's programme or in a Master's programme in Computer Engineering, Electrical Engineering, Computer Science, or a related field. This position may also be carried out as a Master's thesis project.

• Python development experience

• C/C++ knowledge

• Experience with end-to-end computer vision pipelines

• Familiarity with benchmarking concepts (performance, latency, etc.)

• Experience with inference tools, APIs, or SDKs (e.g., TensorRT)

• Familiarity with deep learning model concepts (quantization, ONNX, PyTorch, etc.)

• Development experience using agentic AI

• Knowledge of version control (Git)

• Familiarity with LLM benchmarking concepts

• Proficiency with Linux, Bash scripting, and Docker

• Hands-on experience with embedded hosts

• Proficient written and verbal communication skills in English, with the ability to document findings clearly and precisely.

• Good organizational skills

• GStreamer knowledge

• Basic GUI design experience

Work from our Axelera AI office in Eindhoven (Netherlands).