Overview
Direct message the job poster from Energize Group
You’ll be part of a team working on cutting-edge AI models, algorithms, and performance optimization techniques for everything from small-scale edge devices to large-scale distributed and hybrid architectures. This role sits within the AI Models group, which focuses on algorithmic and application research to drive software-hardware co-optimization and develop novel ML/Hybrid-AI methods for industries such as semiconductor processing and healthcare.
What You’ll Do:
* Represent and model AI/ML workloads for performance evaluation of exascale systems
* Analyse AI models/workloads to create benchmarks and mini-apps for performance testing
* Study performance optimization of deep learning workloads for exascale systems
* Explore emerging AI/ML algorithms for custom architectures to enable SW-HW codesign
* Stay up to date with the latest AI/ML research and implement state-of-the-art techniques
* Contribute to high-impact international projects such as the EuroHPC DARE project, aimed at advancing Europe’s independence in high-performance computing and AI
What they Offer
* The opportunity to join a world-class research environment at the forefront of AI and computing
* Open, multicultural, and collaborative workplace with real opportunities to take initiative
* Continuous development through in-house learning programs to grow your technical and personal skills
* Competitive salary package with comprehensive benefits, pension, healthcare, and additional perks
* PhD or Masters Degree
* Strong background in parallel programming with proven skills in CUDA and Python
* Experience with modern Deep Learning frameworks (PyTorch being the most important)
* Familiarity with distributed training tools (Ray, Dask, PyTorch Lightning)
* Knowledge of optimization techniques (quantization, pruning, distributed training)
* Skilled in software performance analysis and optimization
* Prior experience in AI optimization for compute architectures is a plus
* Understanding of performance analysis tools and hardware optimization
* Strong communication skills and a collaborative mindset
If you’re excited by the idea of shaping the future of AI performance engineering and working on projects with global impact, I'd love to hear from you.
Feel free to reach out for more information:
Location
Leuven, Flemish Region, Belgium
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Research
Industries
* Staffing and Recruiting
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