AI Software Development Engineer - Neuromorphic Computing

• Design and implement specialized AI kernels for neuromorphic hardware using custom DSLs and accelerator programming models such as CUDA and SYCL and help shape the programming abstractions for Intel's next-generation neuromorphic architecture.
• Develop and optimize operations for convolutional networks, transformers, and generative AI workloads by applying techniques such as tiling, fusion, vectorization, parallelization, layout transformation, buffering, sparsity, and quantization.
• Develop performance methodologies and improve kernel behavior in areas such as compute utilization, latency, throughput, memory bandwidth, data movement, synchronization, and scaling, turning architectural insights into measurable workload gains.
• Build reference models, numerical validation tools, benchmarks, and analytical or simulation-based performance, power, and area models that guide hardware-software co-design; reconcile discrepancies across models, simulators, emulators, and hardware.
• Collaborate with hardware, compiler, runtime, and application engineers to deliver maintainable code, tests, documentation, benchmarks, and performance-regression infrastructure.

: Minimum qualifications are required to be initially considered for this position.

• A PhD with no prior professional experience, a master's degree with 2+ years of relevant experience, or a bachelor's degree with 4+ years of relevant experience in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or a related technical field.
• 4+ years of experience developing, debugging, and delivering maintainable software in Python and either C or C++, including performance-critical or systems-level code.
• 2+ years of experience implementing and optimizing numerical, machine-learning, or high-performance computing kernels using parallel programming and either an accelerator programming model, such as CUDA, SYCL, or OpenCL , or a domain-specific language, such as Triton .
• 2+ years of experience developing, training, or evaluating AI algorithms and machine-learning models using a framework such as PyTorch, JAX, or TensorFlow .
• 2+ years of experience establishing numerical correctness and measuring performance using reference implementations, automated testing, benchmarking, profiling, or performance-regression infrastructure.

Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

• Experience developing or optimizing workloads based on convolutional networks, transformers, generative AI, or other models relevant to edge and physical AI systems.
• Experience with compiler technologies or domain-specific language development, such as MLIR, LLVM, TVM, Triton, or related toolchains.
• Experience with hardware performance modeling, architecture simulators, performance, power, and area (PPA) analysis, or hardware-software co-design.
• Advanced experience with optimization techniques including kernel fusion, tiling, vectorization, quantization, sparsity, layout optimization, or double buffering.
• Experience developing software for spatial, dataflow, neuromorphic, or other emerging AI accelerator architectures.
• Experience contributing to collaborative or open-source software projects using code review, continuous integration, documentation, and testing practices.

We are excited to welcome passionate and driven individuals who want to shape the future of AI technology. Your expertise will be invaluable in driving Intel's success and delivering transformative solutions to the world.

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.