Systems SW Engineer - Neuromorphic Computing

Intel
5 Locations$122k – $200kPosted 7 April 2026

Job Description

Job Details: Job Description: The Opportunity For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. 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 We are growing our systems team and are seeking an experienced systems software engineer to develop the runtime framework for our next generation neuromorphic systems. As part of the systems team, you will enable user-compiled models from higher-level application layers to run efficiently on a variety of Loihi based platforms. You will collaborate with the software team to define the abstractions required to run, debug and validate these models on the hardware. Candidates should be open to learning standard and custom interfaces (like Ethernet, MIPI) used in silicon to transact data. Responsibilities • Develop and test operating system components and runtime features for Intel's future neuromorphic products and evaluation platforms. • Support bring-up, debug, and validation of prototype chips and platforms. • Implement performance tuning and scaling of customer workloads. • Develop automated test and validation frameworks for seamless deployment of Loihi systems and software to end customers. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. Minimum qualifications • Bachelors & 4 years or Masters & 3 years in Computer Science, Electrical/Computer Engineering, or a related field. • 2 years of experience in run-time software development and system-level programming. • 2 years of experience in performance optimizations and/or scaling software to large scale systems. • 2 years of experience in C/C and scripting. Preferred qualifications • Experience with LLVM and MLIR. • Proficiency in Python. • Familiarity with real-time operating systems (e.g. Zephyr RTOS). • Familiarity with Ethernet protocols. 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: Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society. Posting Statement: All qualified applicants will receive consideration for employment wi ... (truncated, view full listing at source)
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