AI Research Engineer/Scientist (OpenVINO, NNCF)
Responsibilities
research and development of state-of-the-art compression algorithms, specifically tailored for high-performance neural network inference optimization within the OpenVINO ecosystem
Required skills
Master's or PhD in Computer Science, Mathematics, or a related field (with a focus on AI/Deep Learning), Python programming, Deep Learning model optimization (specifically Quantization, Pruning, or Sparsity), model training frameworks such as PyTorch or TensorFlow, inference solutions such as OpenVINO, At least 3 years of software development, Spoken and written English: upper-intermediate or advanced
Preferred skills
Hardware Awareness: Understanding of how neural networks map to hardware (CPU, GPU, NPU) and why specific optimizations are necessary for memory-constrained environments, Familiarity with modern Large Language Model architectures (Transformers, Diffusers, etc.)
Technologies
OpenVINO, NNCF, PyTorch, TensorFlow, Python
Seniority
Experienced Hire
Domain
AI Research, Neural Network Compression, Deep Learning