Intel | is Hiring | Research Scientist (Artificial Intelligence/Machine Learning-Robotics) | BigDataKB.com | 2022-04-05

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Job Location: Bangalore/Bengaluru

The candidate must have outstanding research background and extensive hands-on algorithms and software development expertise in the areas of Artificial Intelligence/Machine Learning, preferably applied to the Robotics / autonomous systems domain.

The candidate will carry out research in the area of Edge-based multi-agent robot systems and develop learning-based algorithms, software, end-to-end system simulations, simulation tools and sim-to-real demonstrations to enable Edge-computing based robotic systems.

The candidate must be proficient in software development using Python and C , should have expertise with robotics / system simulation tools and developing complex end-to-end simulations/models.

Knowledge of computer networks, OS network stack, Docker/containers, container networking, compute modelling, robotics physics simulation environment (e.g., MuJoCo, Gazebo etc.) and ROS2 is desirable.The candidate is expected to: Extensively review prior research in AI/machine learning, multi-agent robotics, Edge computing and identify new research directions, craft novel research proposals to apply AI/ML and Edge-computing to the robotics domain.

Develop cutting-edge AI / deep learning / reinforcement learning algorithms for multi-agent robotic systems, demonstrate algorithms in a simulation environment and optimize algorithms by deploying them on real-world robotic/autonomous systems and environments.

Explore approaches to co-design and co-optimize collaborative multi-agent systems architectures distributed across edge, fog and cloud.

Develop cross-domain, end-to-end system software and simulation tools encompassing multi-robot physics, network and distributed Edge compute.
File patents, publish cutting-edge research at leading conferences and transfer technology to Intel Business Groups.

Collaborate with other research teams within Intel to amplify research impact.
Establish collaborative relationships with academia by jointly crafting and driving novel research proposals.

MS/PhD in Computer Science / Electrical / Electronics / Statistics / IT / Software Engg from a reputed institute with a stellar academic track record and a strong mathematical background.

Relevant industry experience with in-depth knowledge

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