Researcher SW / HW codesign

Our team has an immediate 12-month contract opening for a Researcher.

Responsibilities :

Design optimized algorithms and models for hardware accelerators.

Read academic papers and stay updated with recent advances in the field.

Design, implement, and integrate models and algorithms.

Evaluate, analyze, and derive insights from experimental data.

Collaborate closely with researchers and provide solutions to engineers.

Publish scientific papers.

What you’ll bring to the team :

A Master's or Ph.D. in Computer Science, Computer Engineering, or a related field.

Proven experience with deep learning models, which can be demonstrated through work experience, internships, or projects.

Proficiency in deep learning frameworks such as PyTorch and TensorFlow.

Excellent communication skills, self-motivation, creativity, and strong attention to detail.

Strong software development skills in Python or C++.

Hands-on experience and comprehensive knowledge of at least one deep learning architecture, such as Transformers, Graph Neural Networks (GNN), Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), Long Short-Term Memory (LSTM), or Variational Autoencoders (VAE).

Experience in one of the following areas :

Software-Hardware or Algorithm-Hardware Co-Design.

Search Techniques : Bayesian Optimization, Evolutionary Algorithms, or Reinforcement Learning.