About this role

Drive the design, implementation, and optimisation of Intel's neuromorphic AI software stack
Collaborate with architects and cross-functional teams to deliver robust, efficient software solutions
Assist in profiling and benchmarking software performance.

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.

AI Software Engineer – Neuromorphic Computing

Key skills