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About
Intel's Neuromorphic Computing Lab is seeking a passionate individual to join their team. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads. Position Overview
You will lead the architecture of Intel's neuromorphic AI software stack and SDK, enabling developers to build high-performance physical AI applications while driving technical strategy, influencing HW/SW co-design, and accelerating ecosystem adoption. Responsibilities
Define and drive technical vision for neuromorphic AI software architecture. Architect and deliver a scalable AI stack-from model optimization to compiler and runtime-built on open standards. Integrate neuromorphic software into leading robotics, IoT, and sensing frameworks to enable broad ecosystem adoption. Mentor and guide engineering teams, fostering best practices in software design. Collaborate with customers and partners to design optimized algorithms and applications. Partner with hardware architects to co-optimize HW and SW for performance and scalability. Provide excellent communication and leadership. Support industry standards and represent Intel in technical forums. Open-source projects. Qualifications
Minimum qualifications: BS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field with 6 years of experience. Experience in leading architecture for complex AI systems. 5+ years in compiler development and AI deployment frameworks (Triton, MLIR, IREE, ONNX, OpenVINO, TVM, XLA). 5+ years in software architecture and design methodologies for scalable systems. 5+ years' experience in programming skills in Python and C/C++, with writing production-grade code. 3+ years of experience with deep learning, mathematical optimization, or AI frameworks (PyTorch, JAX, TensorFlow). Experience with ecosystem development and external partners. Preferred qualifications: MSc or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. Experience in any of the following: Low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL). Parallel computing paradigms and performance optimization. Profile and benchmarking algorithms and hardware architectures. Unconventional AI hardware accelerators and neuromorphic computing. Software for robotics and edge/embedded systems. Software architecture roadmaps for emerging technologies. Machine learning and AI algorithms. Job Type
Experienced Hire Shift
Shift 1 (United States of America) Primary Location
US, Oregon, Hillsboro Additional Locations
US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Texas, Austin Business Group
As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. Posting 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. Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Languages
- English
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