AI Software Engineer

by modern AI workloads.Position OverviewIn this role, you will drive the design, implementation, and optimisation of Intel's neuromorphic AI software stack, and collaborate with architects and cross-functional teams to deliver robust, efficient software solutions that enable developers and customers to build high-performance physical AI applications powered by Intel's neuromorphic technology.The OrganisationAs 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 commercialising the technology in future Intel and partner products.Key ResponsibilitiesDesign, implement, and test components of Intel's neuromorphic AI software stack, including model optimisation, compiler, and runtime modules.Collaborate with customers and partners to

design optimised algorithms and applications.Partner with hardware architects to optimise HW/SW co-design for performance and scalability.Integrate neuromorphic software into leading robotics, IoT, and sensing frameworks to enable broad ecosystem adoption.Participate in code reviews, documentation, and continuous improvement of software processes.Assist in profiling and benchmarking software performance.QualificationsMinimum Qualifications:MSc or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field.3+ years of experience developing AI compiler, runtime, and profiling/debugging infrastructure in frameworks like Triton, MLIR, IREE, XLA, TVM, ONNX, or OpenVINO.3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, CI/CD).5+ 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 QualificationsExpertise in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL)Familiarity with parallel computing paradigms and performance optimisationExperience with profiling and benchmarking algorithms and hardware architecturesKnowledge of unconventional AI hardware accelerators and neuromorphic computingBackground in robotics and robotic software frameworks (ROS2, Isaac, Holoscan)Experience defining software architecture roadmaps for emerging technologiesPrior contributions to open-source projectsExperience working in collaborative, cross-functional teams Job posting details (such as work model, location or time type) are subject to change.Job TypeExperienced HireShiftShift 1 (Netherlands)Primary Location:Virtual

Job DetailsJob Description:The OpportunityFor 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