Research Scientist, HPC for Neuromorphic AI

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

On-site fitness facilities

Relocation assistance

Educational assistance

Wellness programs

Job summary

Oak Ridge National Laboratory's Learning Systems Group seeks a Research Staff member to advance scalable algorithms, software, and AI-enabled methods for modeling, simulating, and co-designing spiking neural networks and neuromorphic systems on leadership-class and exascale computers.

You will lead distributed training and simulation workflows, develop AI-driven architecture search and co-design approaches, mentor students and early-career researchers, publish results, and help establish new

Qualifications

• PhD in a relevant field.
• Strong programming in Python and C/C++.
• Experience with parallel and distributed computing (MPI, distributed ML frameworks).
• Experience with GPU-accelerated computing (CUDA/ROCm).
• Experience with PyTorch or similar ML frameworks.
• Experience with collaborative software development (Git, containers, testing, documentation).
• Strong publication record in HPC/AI/scientific computing.
• Excellent written and oral communication skills.

Responsibilities

• Lead research in scalable algorithms and software for modeling, simulating, and optimizing SNNs and neuromorphic systems.
• Develop AI-driven architecture search and hardware-software co-design methods.
• Design and optimize distributed training and simulation workflows on leadership-class/exascale systems.
• Automate large-scale modeling and simulation campaigns and scientific workflows.
• Publish results and present at conferences and workshops.

Skills

Python

C/C++

MPI

Distributed computing

PyTorch

Git

Containers

Publications

Communication

Independent research

Multi-tasking

Education

PhD in Data Science and Engineering, CS, CE, EE, Math, or related field

Tools

CUDA

ROCm

GPU-accelerated platforms

HPC workload managers

Job description

Oak Ridge National Laboratory's Learning Systems Group seeks a Research Staff member to advance scalable algorithms, software, and AI-enabled methods for modeling, simulating, and co-designing spiking neural networks and neuromorphic systems on leadership-class and exascale computers.

You will lead distributed training and simulation workflows, develop AI-driven architecture search and co-design approaches, mentor students and early-career researchers, publish results, and help establish new