ML Inference Performance Engineer Intern

Axelera; Eindhoven; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Pension plan

Employee share options

Insurance package

Job summary

Axelera AI is scouting a curious, rigorous engineer to join our Eindhoven team to evaluate ML inference performance across the full stack, from export to runtime execution on silicon. You will shape repeatable evaluation methodologies and create tooling to turn measurements into actionable insights.

The role focuses on benchmarking, platform evaluation, and pipeline analysis, with opportunities to influence product decisions and roadmaps.

Qualifications

• Currently enrolled in final years of a Bachelor's or in a Master's programme.
• Experience with Python development.
• C/C++ knowledge required.

Responsibilities

• Benchmarking & Tooling: develop benchmarks, tooling, and a standardised results format for cross-platform comparisons.
• Platform Evaluation: evaluate AI accelerator products and SDKs to identify strengths and gaps.
• Pipeline Analysis: characterize full inference pipelines and ensure consistent configurations across platforms using frameworks like GStreamer.
• Lab & Infrastructure: set up and maintain lab hosts across hardware platforms.
• Reporting: synthesize findings into clear reports informing engineering decisions.

Skills

Python

C/C++

End-to-end CV pipelines

Benchmarking concepts

Inference tools/SDKs (TensorRT)

DL model concepts (quantization, ONNX,

Git

Linux & Bash scripting

Embedded hosts

English communication

Education

Bachelor's or Master's in Computer Engineering / Electrical Engineering / Computer Science or related

Tools

Docker

GStreamer

Job description

Axelera AI is scouting a curious, rigorous engineer to join our Eindhoven team to evaluate ML inference performance across the full stack, from export to runtime execution on silicon. You will shape repeatable evaluation methodologies and create tooling to turn measurements into actionable insights.

The role focuses on benchmarking, platform evaluation, and pipeline analysis, with opportunities to influence product decisions and roadmaps.