Job Title
Senior AI Software Architect - Runtime
Role Summary
Architect and lead development of Intel's product-grade neuromorphic AI execution stack for edge and robotics systems. The role focuses on firmware, runtime, and performance infrastructure to enable a robust, observable, and high-performance software platform.
Work with hardware, compiler, systems, applications, and external partners to translate platform and workload requirements into production software, while providing technical leadership and hands-on implementation.
Experience Level
Senior-level. Requires substantial experience (see Requirements) including multi-year experience leading architecture and delivering production-grade systems; hiring typically expects 8+ years of professional software development with 5+ years in runtime/accelerator-related work.
Responsibilities
Deliver and lead the runtime, firmware, and performance tooling for a neuromorphic AI platform; work across teams to integrate and ship product-quality software.
- Define technical vision, architecture, and roadmap for the neuromorphic runtime stack and contribute hands-on to design and implementation.
- Architect, develop, and optimize firmware and runtime components: execution control, scheduling, data movement, memory management, and device interfaces.
- Design and deliver performance infrastructure: profiling, tracing, debugging, benchmarking, and regression frameworks.
- Integrate runtime into robotics and edge ecosystems to enable efficient deployment and developer adoption.
- Collaborate with hardware, compiler, systems, application teams, customers, and partners to meet platform and workload requirements.
- Provide technical leadership: establish engineering practices, drive software quality and release discipline, mentor engineers, and help scale the team.
Requirements
Must-have technical experience and skills for immediate contribution to runtime, firmware, and performance infrastructure.
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Must-have: 5+ years developing firmware, runtime, performance, or other low-level systems software for AI or accelerators, including execution environments, profiling, debugging, and related infrastructure.
- 5+ years leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding implementation.
- 8+ years developing production-grade software in C/C++ and Python, including systems-level and performance-critical code, with disciplined engineering practices (benchmarking, regression testing, build/toolchain management, CI/CD).
- 5+ years working with AI, deep learning, or optimization workloads using frameworks such as PyTorch, JAX, or TensorFlow.
- Familiarity with technologies such as CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM.
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Nice-to-have: experience managing and mentoring engineers and leading cross-functional delivery; robotics, edge, or real-time systems (e.g., ROS2); HW/SW co-design, hardware simulator development, or accelerator bring-up; parallel computing paradigms and unconventional accelerators; embedded or real-time Linux and device-driver/platform bring-up; prior open-source contributions.
Education Requirements
BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related technical field.
About the Company
Company: Intel Corporation
Headquarters: Santa Clara, California, USA
Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.

Date Posted: 2026-04-30