Skills

Communication Python Performance Testing Research Training Machine Learning PyTorch Deep Learning Programming

Job Specifications

Are you a Machine Learning Engineer looking to push the boundaries of AI compute solutions?

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

Your skills:

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
Fluent in English

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:

+32 2894 16 82

davidf@energizerec.com

About the Company

WE are Energize Group. An award-winning talent partner for the SAP and Cloud marketplace. Established in 2006, we offer permanent and contract staffing solutions for our customers worldwide. WE think globally, and act locally With four international offices across the UK, Europe and the United States of America, our teams of expert recruitment consultants are technology vendor-specialists with deep expertise in SAP, Amazon Web Services, Microsoft Azure, and Google Cloud ecosystems. WE are leaders in service Pioneering the... Know more