AI Software Development Engineer - Neuromorphic Computing

What if you could help define how developers program an entirely new class of AI hardware?

For nearly a decade, Intel's Neuromorphic Computing Lab, together with a global ecosystem of more than 250 research groups, has advanced architectures, algorithms, and software inspired by the brain's remarkable efficiency, scalability, and adaptability. Our Loihi research chips pioneered event-driven, sparse, and massively parallel neuro-inspired computing, contributing to more than 100 peer-reviewed publications and establishing the potential of this new approach.

Now we are taking the next step: transforming those breakthroughs into technologies for physical AI systems, such as robots and intelligent edge devices that must sense, decide, and act under tight latency and power constraints. This is an opportunity to join at a formative stage and help create the kernels, programming abstractions, and performance models for a new hardware architecture built around sparse, event-driven, and massively parallel computation.