Neuro-AI Software Engineer - Build Brain Digital Twin

SLAC; Palo Alto (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Stanford University, within the Department of Ophthalmology and collaborating institutes, is launching an interdisciplinary Neuro-AI project building a brain foundation model. We seek software developers to scale systems, ensure reproducibility, and implement CI/CD across teams.

You will contribute to production-ready code and maintain high software quality in a fast-paced, collaborative academic environment.

Qualifications

• 3+ years of experience developing and maintaining production-grade codebases.
• Proficiency in Python and system-level languages (C/C++, Rust).
• Experience with Git and GitHub for collaborative development.
• Experience setting up CI/CD with GitHub Actions and Jenkins.
• Strong knowledge of test-driven development and testing methodologies.
• Familiarity with Docker, Kubernetes, Slurm; containerization/orchestration experience.
• Experience with open-source software contributions.
• Knowledge of ML frameworks such as TensorFlow or PyTorch.

Responsibilities

• Assess user needs and requirements.
• Design and develop data-manipulation applications.
• Maintain and update existing programs.
• Troubleshoot and solve technical problems.
• Create programs for reporting and analysis needs.
• Design and implement training programs for users and operators.
• Document changes for end users and maintainers.
• Adhere to team software development methodology.
• Serve as a technical resource for applications.

Skills

Problem solving

Communication

Collaboration

Multidisciplinary environment

Tools

Git

GitHub

GitHub Actions

Jenkins

Docker

Kubernetes

Slurm

TensorFlow

PyTorch

Job description

Stanford University, within the Department of Ophthalmology and collaborating institutes, is launching an interdisciplinary Neuro-AI project building a brain foundation model. We seek software developers to scale systems, ensure reproducibility, and implement CI/CD across teams.

You will contribute to production-ready code and maintain high software quality in a fast-paced, collaborative academic environment.