Neuromorphic/AI Research Scientist

About the role

Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi series research chips have pioneered event-driven, sparse, and massively parallel neuro-inspired processing, resulting in over 100 peer-reviewed publications. As part of Intel's CTO Office, we're now transforming these research breakthroughs into real-world products that will power the next generation of physical AI systems. We are seeking a Neuromorphic AI Research Scientist to advance state-of-the-art neuromorphic processor technology toward commercial adoption. This role focuses on modeling, prototyping, and defining architectures and algorithms that enable transformative gains for real-world customer applications in edge computing, signal processing, and autonomous systems. Primary Location: US, California, Santa Clara. Additional Locations: US, Arizona, Phoenix; US, California, Folsom; US, Oregon, Hillsboro; US, Texas, Austin.

Responsibilities

• Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms
• Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation
• Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization
• Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications
• Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies
• Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals
• Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders

Qualifications

Minimum Qualifications

• PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field.
• 1+ projects demonstrating the skills to turn research ideas into working prototypes and to evaluate them rigorously (benchmarks, baselines, ablations, quantitative reporting).
• 3+ publications in leading journals or conferences on AI/ML, edge computing, robotics, and/or control.
• 2+ years of experience with:
  • State-of-the-art AI models, optimization, and at least one of: control/dynam