AI Algorithm Research Intern – Neuromorphic Computing

About This Role

• This position requires candidates to upload a resume in English; you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position.
• 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 Demonstrate the value of Intel's neuromorphic technologies by developing, implementing and benchmarking algorithms for Intel's next generation neuromorphic architecture to enable applications in edge computing, signal processing and autonomous systems for the era of physical AI with groundbreaking performance and efficiency.
• Responsibilities Support the development and benchmarking of applications on Intel's next-generation neuromorphic architecture.
• Author and publish results in top-tier conferences/journals.
• Contribute to Intel's neuromorphic SDK with documentation, code reviews, and continuous improvement of software processes.
• About the Organization: As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market.
• Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products Behavioral Traits Problem ‑ Solving Mindset: Approaches complex technical challenges with curiosity, creativity, and structured analytical thinking.
• Collaboration Skills: Works effectively with cross ‑ functional engineering teams, seeks input from partners, and communicates clearly in both technical and non ‑ technical contexts.
• Adaptability and Learning Agility: Quickly learns new tools, technologies, and methodologies; comfortable working in evolving development environments.
• Attention to Detail: Delivers high ‑ quality, reliable, and scalable software solutions with a focus on robustness, validation, and secure coding practices.
• Results ‑ Oriented: Prioritizes effectively, manages time well, and drives solutions to completion in a fast ‑ paced engineering environment.
• Innovation and Continuous Improvement: Looks for opportunities to optimize tools, simplify workflows, and introduce new methodologies that enhance engineering efficiency.
• Communication: Communicates ideas clearly, documents work effectively and provides concise progress updates to stakeholders.
• Intern must be willing to work at least 30 hours per week.