Senior AI Software Architect - Runtime

** Job Details:*
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* Job Description:

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* 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.

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* Position Overview:

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* Join the team building Intel's product-grade neuromorphic AI execution stack targeting edge and robotic systems. In this role, you will architect and lead the development of the firmware, runtime, and performance infrastructure, working closely with hardware, compiler, systems, and application teams to deliver a robust, observable, and high-performance software stack. You will set technical direction for a critical part of the platform while remaining hands-on in architecture and implementation.

** Responsibilities:*
* + Define and drive the technical vision, architecture, and roadmap for Intel's neuromorphic runtime software stack, while contributing hands-on to critical design and implementation.

+ Architect, develop, and optimize firmware and runtime components, including execution control, scheduling, data movement, memory management, and device interfaces.

+ Architect and deliver performance infrastructure, including profiling, tracing, debugging, benchmarking, and regression frameworks needed for optimization and product release.

+ Integrate the runtime stack into existing robotics and edge software ecosystems, to enable efficient deployment and developer adoption.

+ Collaborate with hardware, compiler, systems, application, and solution teams, as well as customers and external partners, to translate platform and workload requirements into robust software capabilities.

+ Provide technical leadership across the runtime area by establishing engineering practices, driving software quality and release discipline, mentoring engineers, and helping scale the team over time.

** 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 have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.

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* Qualifications:

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* ** Minimum Qualifications*
* + BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related technical field.

+ 5+ years of experience developing firmware, runtime, performance, or other low-level systems software for AI or accelerators, including execution environments, profiling, debugging, and related infrastructure, with experience in technologies such as CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM.

+ 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding implementation.

+ 8+ years of experience developing maintainable, production-grade software in C/C++ and Python, including systems-level and performance-critical code, using disciplined engineering practices such as benchmarking, correctness and performance regression testing, build/toolchain management, and CI/CD.

+ 5+ years of experience with AI, deep learning, or optimization workloads using frameworks such as PyTorch, JAX, or Tensor Flow.

** Preferred…