Sr AI Runtime Architect - Neuromorphic Computing

About the role

Job Details:

Job Description:

The Opportunity:

For nearly a decade, Intel's Neuromorphic Computing Lab, together with a global ecosystem of 250+ research groups, has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.

Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems - beyond the reach of GPUs and mainstream AI accelerators.

If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.

Position Overview:

Join the team building Intel's neuromorphic AI execution stack targeting edge and robotic systems. In this role, you will lead the team and technical direction for our next-generation runtime stack, while remaining hands-on in architecture and implementation. You will set the roadmap from the first product generation onward, on a spatial, event-driven architecture that redraws the boundary between compiler and runtime.

Responsibilities:

- Define and drive the technical vision, architecture, and roadmap for the runtime stack, from firmware to framework integration, while contributing hands-on to critical design and implementation.

- Architect and develop the runtime and performance tooling, and define the execution behavior that the firmware and drivers must implement, whether the device is attached to a host or runs standalone.

- Own the contracts between the runtime stack and the compiler, as well as its integration with industry-standard AI and robotics frameworks.

- Own the measurable performance, real-time behavior, and production quality of the stack across silicon and simulators.

- Collaborate with compiler, hardware, and application teams, as well as customers and partners, to translate workload requirements into runtime capabilities and feed performance insights back into compiler and hardware design.

- Provide technical leadership by establishing engineering practices and mentoring engineers.

About the Organization:

As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers has pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.