Artificial Intelligence Systems Researcher/Architect 

We are looking for an AI Researcher in ML Systems domain for conducting research and architecture definitions for NeuReality’s AI inference platform. You will work alongside a team of talented engineers to analyze modern AI workloads and define the architecture of NeuReality’s next-generation AI SoC and a set of the corresponding tools, technologies, and algorithms. 

You will gain a deep understanding of AI-centric software and hardware architectures, end-to-end use cases, and deep learning algorithms/pipelines. You will stay up-to-date with the latest research in the field of machine learning and AI, and also work and interact with external vendors and customers to gather requirements and integrate new features. 

Key Responsibilities: 

• Gain a deep understanding of AI-centric software and hardware architectures, end-to-end use cases, and deep learning algorithms/pipelines. 
•  Stay up to date with the latest research in the field of machine learning, AI and AI-centric software and hardware architectures.
•  Analyze modern AI workloads, on NeuReality systems and on competing platforms. 
•  Optimize the inference and deployment of modern AI workloads on NeuReality’s platforms. 
•  Communicate effectively with team members and stakeholders in verbal and written English. 
•  Write clean, efficient, and well-documented code using Python, PyTorch, and TensorFlow frameworks. 
•  Contribute to the development of NeuReality SDK, a set of tools and technologies for our platform, including optimization algorithms and compilers. 

Requirements:

• MSc in Computer Science or Computer Engineering 
•  Background in Deep Learning and/or image/video/audio/text processing 
•  Good understanding of computer architecture 
•  Experience in Python programming and PyTorch/TensorFlow frameworks 
•  Excellent team player with strong communication skills in verbal and written English 
•  Ability to work independently as well as in a team environment. 
•  Experience with developing, running and optimizing AI algorithms and techniques. 

Advantages: 

•  Knowledge of C/C++ 
•  Familiarity with OOP, design patterns, and solid software development principles