Neuromorphic AI Research Scientist

Job Title

Neuromorphic AI Research Scientist

Role Summary

Join Intel's Neuromorphic Computing Lab (CTO Office) to advance neuromorphic processor technology toward commercial adoption. Work on modeling, prototyping, and defining architectures and algorithms for edge computing, signal processing, robotics, and autonomous systems.

Experience Level

Mid-level (Experienced hire). Typical background includes 2+ years of relevant industry or research experience and demonstrated research output (peer-reviewed publications).

Responsibilities

Primary responsibilities include designing algorithms, building prototypes, and collaborating across hardware and software teams.

• Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms.
• Develop research-quality software artifacts: APIs, kernels, and benchmarking tools.
• Prototype and evaluate approaches under constraints such as quantization, sparsity, memory footprint, latency, and energy.
• Translate algorithmic requirements into hardware specifications in collaboration with engineering teams.
• Build experimental pipelines and benchmarks with baselines and ablation studies for target use cases.
• Document results, produce customer prototypes, and publish findings in conferences and journals.
• Present technical findings to internal and external stakeholders and contribute to thought leadership in neuromorphic computing.

Requirements

Summary of required and preferred qualifications. Degree requirements are listed separately under Education Requirements.

• Must-have: 1+ projects demonstrating ability to convert research ideas into working prototypes with rigorous evaluation (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/dynamical systems, signal processing, or probabilistic inference.
• Experience with scientific programming for research (e.g., Python or C/C++) and software development best practices: OO design, testing, debugging, documentation, version control, and code reviews.
• Demonstrated problem-solving, collaborative leadership, adaptability, clear communication, and results orientation.
• Nice-to-have: open-source releases or widely used libraries; strong mathematical background; experience with edge AI accelerators or event-based sensors; quantization and low-precision arithmetic; robotics or real-time control software; performance-oriented development in C/C++/assembler; profiling and benchmarking; hardware architecture or design experience.

Education Requirements

PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field. The posting explicitly allows "or equivalent research experience."

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.