Intel

AI Algorithm Research Intern focused on developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems. The role involves contributing to Intel's neuromorphic SDK and publishing research findings.

Intern position at Intel's Neuromorphic Computing Lab focused on developing, implementing, and benchmarking algorithms for next-generation neuromorphic architectures. The role involves supporting application development, publishing research, and contributing to the neuromorphic SDK, with a focus on edge computing, signal processing, and autonomous systems.

This role focuses on demonstrating the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for next-generation neuromorphic architectures. The goal is to enable applications in edge computing, signal processing, and autonomous systems for physical AI, with a focus on robotics applications like VLA models for drones and humanoids. The role involves validating the neuromorphic SDK, gathering metrics, proposing software enhancements, and presenting findings. It's a fixed-term position within Intel's CTO Office, aiming to commercialize neuromorphic technology.

Develop, implement, and benchmark advanced robotics algorithms optimized for modern heterogeneous Intel compute architectures, enabling high performance and efficient solutions for real-world applications in autonomous systems, edge robotics, and intelligent physical systems. This role involves integrating and simulating large-scale robotics systems and bringing real robotic platforms to life, with a focus on commercializing these technologies for future Intel and partner products.

Robotics Research Intern at Intel focusing on advanced algorithmic development and robotics research for next-generation robotic technologies. The role involves researching, designing, and optimizing robotics algorithms, control systems, and AI/ML models, with a focus on enabling intelligent autonomous systems and innovative robotic applications. Collaboration with cross-functional teams to translate research into practical implementations is key.

Intern role focused on the development, validation, and deployment of AI tools such as GenAI assistants, RAG-based knowledge tools, and workflow automation agents within an enterprise AI context. Requires basic knowledge of ML/GenAI concepts and Python programming.