Neuro-AI Software Engineer - Production Systems & CI/CD

Stanford Reglab; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and benefits

Job summary

Stanford University’s Department of Ophthalmology launches a Neuro-AI project building a brain foundation model. We seek software engineers to scale systems, ensure reproducibility, and implement CI/CD across teams.

You will enable rapid iteration, maintain high software quality, and collaborate with labs and institutes across Stanford. You will contribute to production-grade software for interdisciplinary neuroscience and AI research, working in a fast-paced, multidisciplinary environment with

Qualifications

• 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 GitHub.
• Experience setting up and maintaining CI/CD principles through tools such as GitHub Actions and Jenkins.
• Strong understanding and experience in test-driven software development with knowledge of unit, integration, 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/open-source software projects or libraries.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.

Responsibilities

• 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.

Skills

Python

C/C++

Rust

Git/GitHub

CI/CD

Testing

Docker

Kubernetes

Slurm

Open-source

Education

Bachelor's degree

Tools

GitHub Actions

Jenkins

TensorFlow

PyTorch

Docker

Kubernetes

Slurm

Job description

Stanford University’s Department of Ophthalmology launches a Neuro-AI project building a brain foundation model. We seek software engineers to scale systems, ensure reproducibility, and implement CI/CD across teams.

You will enable rapid iteration, maintain high software quality, and collaborate with labs and institutes across Stanford. You will contribute to production-grade software for interdisciplinary neuroscience and AI research, working in a fast-paced, multidisciplinary environment with