Join an AI R&D team developing software and algorithms that bring neural networks to advanced hardware. Work across deep learning, generative AI and model optimization, helping deliver efficient inference while preserving model accuracy.
What you’ll do:
Explore emerging AI architectures, including LLMs and generative models.
Plan end-to-end neural network deployment on the company’s hardware.
Measure, analyze and improve model accuracy.
Develop hardware-aware quantization tools and algorithms as part of the graph compiler.
What you’ll bring:
B.Sc. or M.Sc. in Computer Science, Engineering or a related technical field.
3-4 years of hands-on Python development experience.
Practical experience with PyTorch.
Experience running and evaluating ML/AI models, with an understanding of common neural network architectures.
Proficiency with AI tools, supported by solid software testing practices.
Strong communication skills, initiative and effective time management.
Nice to have:
Experience with LLMs and neural network quantization.
Familiarity with Edge AI, NPUs or hardware-oriented model deployment.
Experience with Hugging Face, PyTest and Jenkins.
