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Machine Learning Performance Engineer

Job in Town of Belgium, Wisconsin, USA
Listing for: Euraxess
Full Time position
Listed on 2025-12-01
Job specializations:
  • Engineering
    AI Engineer, Software Engineer, Systems Engineer, Artificial Intelligence
Job Description & How to Apply Below
Location: Town of Belgium

Organisation/Company IMEC Research Field Computer science » Other Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Country Belgium Final date to receive applications 16 Jan 2026 - 14:05 (Europe/Brussels) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

IMEC

Imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.

As a trusted partner for companies, start‑ups and universities we bring together 6000 brilliant minds from over 100 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top‑class employer.

To strengthen this position as a leading player in our field, we are looking for those passionate talents that make the difference!

AI Systems is a department in the AI & Algorithms expertise center that develops advanced AIcompute solutions involving AI models, algorithms, implementations, sensors and hardware forsmall scale edge up to large scale distributed and hybrid hardware architectures.

Within the AI Systems department, the AI Models group focuses on algorithmic and application research in the domain of AI and scientific simulations to drive SW‑HW‑Technology co‑optimization and develop novel ML/Hybrid‑AI methods for semiconductor processing and health applications. This position is within AI Models group based in Leuven, Belgium.

We are strengthening our AI Models group to build expertise in performance evaluation of Machine Learning workloads and algorithmic optimization techniques. The candidate will work on building a framework to represent distributed AI/ML workloads in a flexible way to decode their execution on different device and network models enabling design of high performant future exascale systems.

What you will do

  • AI/ML workload representation towards performance evaluation of exascale systems.
  • Analysing AI models/workloads to create mini-apps and benchmarks for performance.
  • Studying performance optimization of deep learning workloads for exascale systems.
  • Exploring emerging AI/ML algorithms for custom architectures to enable SW‑HW codesign.
  • Staying up‑to‑date with the latest AI/ML literature to implement state‑of‑the‑art algorithms.

During the first few years of your time with AI Models, you will have the opportunity to be an integral part of our ongoing EuroHPC DARE project that aims to drive Europe’sindependence in high‑performance computing and AI.

  • You have a PhD, preferable in Computer Science, Engineering, Mathematics, or equivalent.
  • Strong background with parallel programming and proven ability of CUDA and Python
    programming.
  • You have experience with modern Deep Learning frameworks (PyTorch, Tensorflow, Jax).
  • Experience with distributed training frameworks (e.g., Ray, Dask, PyTorch Lightning).
  • Strong background in algorithmic optimization techniques like quantization, pruning, and
    distributed training methodologies.
  • Experience in software performance analysis and optimization.
  • Prior experience with optimizing AI for AI Compute Architectures is a plus.
  • Understanding of performance analysis tools, and hardware optimization techniques.
  • You are a team player and have strong communication skills.
  • Your English is fluent, both speaking and writing.

Languages ENGLISH Level Excellent

Additional Information

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