Deep Learning Researcher

☞ Axelera AI

View: 175

Update day: 16-11-2025

Location: Leuven Flemish Brabant

Category: Other

Industry:

Job type: Full-time

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Job content

Do you get excited by working on cutting-edge Computer Vision models to bring Artificial Intelligence applications to the next level? We are expanding our team with a Deep Learning Engineer Network Compression to optimize the latest deep neural networks for our state-of-the- art neural-network accelerator chip. Your work will bridge the gap between various computer vision applications (security camera, drone, retail, robotics, etc.) and deep learning acceleration.

Your role will include the following:
• Thoroughly studying various Deep Learning compression techniques
• Implementing existing network compression algorithms (pruning, matrix
factorization, etc.)
• Developing new network compression algorithms to further accelerate Deep Learning
algorithms on our accelerator
• Keeping track of the literature on compression techniques and Deep Learning
optimizations
• Collaborating with software developers
• Communicating your results to team members

Your profile
• At least 4 years of experience with Python (Numpy, Scipy)
• At least 3 years of experience with a deep learning framework
like Pytorch or Tensorflow
• Strong understanding of the inner-workings and applications of recent CNNs, MLPs,
RNNs and transformers
• Experience with one or more network compression techniques (Structured- and
unstructured pruning, different matrix factorization techniques, etc.)
• Preferably experience with Torch FX
• Problem-solving mindset, capable of debugging and patching software issues
• Good oral and written communication skills
• Fluent in English, both in speaking and writing
• You are a team player and you are also able to autonomously plan and perform
research tasks
• You have a strong sense of responsibility and want to realize high ambitions
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Deadline: 31-12-2025

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