Neuromorphic/AI Research Scientist

Intel Corporation

. Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms .

Posted 9/17/2026full-timeSanta Clara • Arizona • United StatesJuniorMid-Level💰 $170,500 - $315,490 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and analyzing neuromorphic AI algorithms, with a strong foundation in scientific programming and a proven track record of developing research-quality software artifacts. Capable of collaborating effectively with cross-functional teams and communicating complex results to diverse stakeholders.

Highest-signal resume keywords

PhD In Computational NeuroscienceNeuromorphic AI Algorithm DesignScientific Programming In Python Or C/C++Experience With Edge AI Hardware AcceleratorsPublications In Leading Journals Or Conferences

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Neuromorphic AI AlgorithmsScientific ProgrammingQuantizationLow-Precision ArithmeticBenchmarkingControl SystemsSignal ProcessingObject-Oriented DesignPerformance ProfilingHardware Architecture

Soft Skills

Technical CommunicationCollaborationThought Leadership

Tools & Technologies

APIsKernelsEvent-Based SensorsVersion ControlDebugging Tools

Industry Keywords

AI/MLEdge ComputingRoboticsReal-Time Control SystemsDynamical Systems

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

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
Prototype and evaluate approaches under 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 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
Present findings to internal and external stakeholders

Requirements

What you’ll need

PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field
1+ projects demonstrating the ability to turn research ideas into working prototypes and evaluate them rigorously through benchmarks, baselines, ablations, and 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, such as Python or C/C++, including object-oriented design, testing, debugging, documentation, version control, and code reviews
Strong mathematical background
Experience with edge AI hardware accelerators or event-based sensors
Experience with quantization and low-precision arithmetic
Experience developing software for robotics or other real-time control systems
Experience building performant components in a systems language such as C/C++/assembler or an equivalent performance-oriented environment
Experience profiling and benchmarking algorithms and hardware architectures
Hardware architecture and design experience

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits
Hybrid work model allowing employees to split time between working on-site and off-site