Senior AI Software Engineer - Neuromorphic Computing

Job Details: Job Description: 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 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. 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 defining and implementing Intel's product-grade neuromorphic AI software stack. Contribute across all levels of the stack from drivers to runtime to AI framework integration in collaboration with hardware, software and solution architects to deliver robust, efficient, scalable software solutions that enable customers to build high-performance physical AI applications powered by Intel's neuromorphic technology. Responsibilities Design, implement and optimize Intel's neuromorphic AI compiler and runtime environment. Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack. Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks. Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack. Qualifications: The Minimum qualifications are required to be initially considered for this position.  Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field. 3 years of experience developing AI compiler, runtime, performance, or systems software, including execution environments, profiling, or debugging infrastructure in frameworks like ONNX, IREE, OpenVINO, TVM, MLIR, XLA. 3 years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (e.g. profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, or CI/CD). 3 years of experience with production software development in Python and C/C, including systems-level and performance-critical code. 3 years of experience with AI, deep learning, or optimization algorithms using frameworks such as PyTorch, JAX, or TensorFlow. Preferred Qualifications Post graduate degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field. Strong expertise in robotics or real-time systems including frameworks such as ROS2. Experience in low-level systems and accelerator programming (CUDA, L ... (truncated, view full listing at source)