Software Engineer for Neuro-AI Brain Platform

Stanford University; Palo Alto, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Mentoring in career development

Job summary

Stanford University’s Department of Ophthalmology seeks software engineers to build and scale the Neuro-AI project infrastructure. You will ensure reproducibility, implement CI/CD, and maintain high-quality production code supporting interdisciplinary labs across Stanford, including Tolias and Moore labs.

You will develop applications, manage data workflows, and help advance brain-inspired AI research with robust, scalable software systems in a fast-paced academic setting.

Qualifications

• 3+ years of experience developing production-grade codebases.
• Strong programming skills in Python and system-level languages (C/C++, Rust).
• Experience with version control systems like Git and collaborative development platforms like GitHub.
• Experience setting up and maintaining CI/CD with GitHub Actions and Jenkins.
• Strong knowledge of test-driven development and testing methodologies.
• Excellent problem-solving and collaboration skills.
• Ability to work in a fast-paced, multidisciplinary environment.
• Familiarity with containerization and orchestration (Docker, Kubernetes, Slurm).
• Experience with scientific software development and open-source projects.
• Familiarity with ML frameworks such as TensorFlow or PyTorch.

Responsibilities

• Assess user needs and requirements.
• Design and develop applications with complex data manipulation.
• Maintain and update existing programs.
• Troubleshoot and resolve technical problems.
• Create programs to satisfy reporting and analysis needs.
• Design and implement user and operations training programs.
• Document changes for end users.
• Follow team software development methodology.
• Serve as technical resource for applications.
• Other duties as assigned

Skills

Python

C/C++

Rust

Git

GitHub Actions

Jenkins

CI/CD

Testing (TT)

Docker

Kubernetes

Slurm

TensorFlow

PyTorch

Tools

GitHub

GitHub Actions

Jenkins

Docker

Kubernetes

Slurm

Job description

Stanford University’s Department of Ophthalmology seeks software engineers to build and scale the Neuro-AI project infrastructure. You will ensure reproducibility, implement CI/CD, and maintain high-quality production code supporting interdisciplinary labs across Stanford, including Tolias and Moore labs.

You will develop applications, manage data workflows, and help advance brain-inspired AI research with robust, scalable software systems in a fast-paced academic setting.