Intern - ML Inference Performance Engineer - Eindhoven (hybrid), Netherlands
Originally posted 21 September 2026 by the employer — open 1 day.
This role focuses on the performance of ML inference systems, specifically with the Metis™ AI Platform.
About the role
This role focuses on evaluating and optimizing the performance of ML inference systems, working across the full inference stack from model export to runtime execution on silicon. You will contribute to understanding and improving the performance of the Metis™ AI Platform.
What you'll do
- Develop a thorough understanding of internal benchmarking tools covering throughput, latency, power, and accuracy.
- Improve existing tooling, define reproducible procedures, and establish a standardised results format for cross-platform comparisons.
- Research and evaluate AI accelerator products, gaining hands-on experience with SDKs and toolchains.
- Characterise full inference pipelines, capturing host-device transaction overhead and end-to-end performance metrics.
- Set up and maintain lab hosts across multiple hardware platforms and support the onboarding of new evaluation hardware.
- Synthesise findings into clear, structured reports that inform engineering and roadmap decisions.
What you'll need
- 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.
- Python development experience.
- C/C++ knowledge.
- Experience with end-to-end computer vision pipelines.
- Familiarity with benchmarking concepts (performance, latency).
- Experience with inference tools, APIs, or SDKs (e.g., TensorRT).
- Familiarity with deep learning model concepts (quantization, ONNX, PyTorch).
- 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.
Nice to have
- GStreamer knowledge.
- Basic GUI design experience.
Skills: ML inference systems, AI accelerator products, performance bottlenecks, compiler toolchains, runtime execution on silicon
This role has been open 0 days — well below the 67-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
522
|
Median days open
67 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Axelera AI | All employers we track in this specialty (522 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 522 |
| Open roles in the wider Software, Firmware & Systems family | 5 | 5873 · 143 employers |
| Median days open | 4 d | 67 d (−63 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: ML inference systems, AI accelerator products, performance bottlenecks, compiler toolchains, runtime execution on silicon
Who's hiring in this category
- Qualcomm · 107 open roles · median 97 d
- NVIDIA · 86 open roles · median 68 d
- AMD · 46 open roles · median 60 d
- Micron Technology · 32 open roles · median 40 d
- Mobileye · 25 open roles · median 54 d
- Analog Devices · 14 open roles · median 25 d
How we counted: 522 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 22 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.