AI Software Architect - Neuromorphic Computing

Intel is seeking an AI Software Architect to lead the architecture of its neuromorphic AI software stack and SDK. The role focuses on building a scalable end-to-end toolchain from model optimization through compiler and runtime, while driving strategy, mentoring teams, and expanding ecosystem adoption across robotics, IoT, and sensing.

• Define and drive technical vision for neuromorphic AI software architecture
• Architect and deliver a scalable AI stack from model optimization to compiler and runtime built on open standards
• Integrate neuromorphic software into leading robotics, IoT, and sensing frameworks
• Collaborate with customers and partners to design optimized algorithms and applications
• Partner with hardware architects to co-optimize HW and SW for performance and scalability

You will architect a neuromorphic AI software stack that supports event-driven, sparse, and massively parallel processing, leveraging open standards. The stack spans model optimization, compiler development, and runtime delivery, and requires deep experience with AI deployment frameworks including Triton, MLIR, IREE, ONNX, OpenVINO, TVM, and XLA, along with Python and C/C++ development.

The ideal candidate is a lead-level software architect with 6+ years of experience designing architectures for complex AI systems, including neuromorphic AI software stacks. They have strong compiler and AI deployment framework experience (e.g., Triton, MLIR, IREE, ONNX, OpenVINO, TVM, XLA) and can co-optimize hardware/software for performance and scalability using Python and C/C++.