Neuromorphic/AI Research Scientist

Intel•Us, CA

9d•Hybrid

About The Position

For nearly a decade, Intel's Neuromorphic Computing Lab has explored architectures, algorithms, and software inspired by the brain's efficiency, scalability, and adaptability. Their Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing. This role is part of an exciting new chapter focused on transforming these breakthroughs into real-world products for the coming era of physical AI systems. The position offers an opportunity to push the boundaries of computing, from transistor-level innovation to software abstractions, and to help define the next wave of AI technology by harnessing Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads. The role involves demonstrating the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems for the era of physical AI with groundbreaking performance and efficiency. This is a fixed-term opportunity lasting approximately 12 months, with the potential for extension.

Requirements

Enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
1+ years of experience writing clean, efficient and modular Python and C++ code.
1+ years of experience developing AI models for signal processing, perception, reasoning, and control.
1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
1 peer-reviewed publications.

Nice To Haves

Experience with edge AI HW accelerators or event-based sensors.
Exposure to neuroscience and neurobiology-inspired algorithms.
Experience in developing software for robotics or other real-time control systems.
Experience with profiling and benchmarking algorithms and hardware architectures.
Strong problem-solving and communication skills.

Responsibilities

Support the development and optimization of advanced AI algorithms and signal processing applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
Evaluate and benchmark signal processing algorithms on current and next-generation neuromorphic hardware.
Validate Intel's neuromorphic SDK by running real-world signal processing workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
Present findings internally and to collaborators.