Neuro-AI Foundation Software Engineer

The Department of Ophthalmology in the School of Medicine at Stanford University is launching an interdisciplinary Neuro-AI project dedicated to building a foundation model of the brain. This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional "digital twin" — a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving.

• Assess user needs and requirements.
• Design and develop applications that may involve sophisticated data manipulation.
• Maintain and update existing programs.
• Troubleshoot and solve technical problems.
• Create programs to meet reporting and analysis needs.
• Design and implement user and operations training programs.
• Document changes in software for end users.
• Follow team software development methodology.
• Serve as technical resource with respect to applications.
• * - Other duties may also be assigned

• 3+ years of experience in developing and maintaining production-grade codebases
• Strong programming skills in Python and system-level languages (e.g. C/C++, Rust)
• In-depth experience with version control systems like Git and collaborative development platforms like Git Hub
• Experience setting up and maintaining CI/CD principles through tools such as Git Hub Actions and Jenkins
• Strong understanding and experience in test-driven software development with knowledge of different testing methodologies such as unit testing, integration testing, and end-to-end testing
• Excellent problem-solving, communication, and collaboration skills
• Ability to work effectively in a fast-paced, multidisciplinary environment
• Experience with containerization technologies like Docker and orchestration platforms like Kubernetes and Slurm
• Experience with the challenges of scientific software development
• Knowledge of software design patterns and architectures
• Experience contributing to and/or maintaining open-source software projects or libraries
• Familiarity with machine learning frameworks such as Tensor Flow or Py Torch

• Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering.
• Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.
• Competitive salary and benefits.
• Strong mentoring in career development.