Senior AI Software Architect - Runtime

Position Overview Join the team building Intel's product‑grade neuromorphic AI execution stack targeting edge and robotic systems. In this role, you will architect and lead the development of the firmware, runtime, and performance infrastructure, working closely with hardware, compiler, systems, and application teams to deliver a robust, observable, and high‑performance software stack. You will set technical direction for a critical part of the platform while remaining hands‑on in architecture and implementation. Responsibilities Define and drive the technical vision, architecture, and roadmap for Intel's neuromorphic runtime software stack. Architect, develop, and optimize firmware and runtime components, including execution control, scheduling, data movement, memory management, and device interfaces. Architect and deliver performance infrastructure, including profiling, tracing, debugging, benchmarking, and regression frameworks needed for optimization and product release. Integrate the runtime stack into existing robotics and edge software ecosystems to enable efficient deployment and developer adoption. Collaborate with hardware, compiler, systems, application, and solution teams, as well as customers and external partners, to translate platform and workload requirements into robust software capabilities. Provide technical leadership by establishing engineering practices, driving software quality and release discipline, mentoring engineers, and helping scale the team over time. Qualifications BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related technical field. 5+ years of experience developing firmware, runtime, performance, or other low‑level systems software for AI or accelerators, with expertise in CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM. 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding implementation. 8+ years of experience developing maintainable, production‑grade software in C/C++ and Python, using disciplined engineering practices such as benchmarking, correctness and performance regression testing, build/toolchain management, and CI/CD. 5+ years of experience with AI, deep learning, or optimization workloads using frameworks such as PyTorch, JAX, or TensorFlow. Preferred: Experience managing and mentoring engineers, leading delivery across cross‑functional teams spanning hardware, systems software, compiler, and applications. Preferred: Experience with robotics, edge, or real‑time systems, including software ecosystems such as ROS2. Preferred: Experience in HW/SW co‑design, hardware simulator development, or software bring‑up for emerging accelerator architectures. Preferred: Experience with parallel computing paradigms or spatial / unconventional AI hardware accelerators. Preferred: Experience with embedded or real‑time Linux, device‑driver / platform bring‑up, or other low‑level deployment software for edge systems. Prior contributions to open‑source software projects. Benefits We offer a total compensation package that ranks among the best in the industry, including competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. This position also offers a hybrid work model that allows employees to split their time between on‑site and off‑site work. EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. #J-18808-Ljbffr