Neuro-AI Software Engineer — Production-Ready Python/C++

Stanford University School of Medicine; Palo Alto (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and benefits

Career mentoring and development

Job summary

Stanford University School of Medicine is launching an interdisciplinary Neuro-AI project to build a brain foundation model. The team seeks software developers/engineers to build scalable systems enabling rapid scientific iteration, reproducibility, and production-grade CI/CD across multiple Stanford labs.

Your work will support code quality, reliability, and efficiency while collaborating with leading labs in neuroscience and artificial intelligence, including Tolias and Moore labs, on

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 3+ years of experience developing production-grade codebases.
• Strong Python and system-level language skills.

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 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 a technical resource with respect to applications.

Skills

Python

C/C++

Rust

Git

CI/CD

Testing

Docker

Kubernetes

Slurm

Machine learning

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions

Jenkins

Docker

Kubernetes

Job description

Stanford University School of Medicine is launching an interdisciplinary Neuro-AI project to build a brain foundation model. The team seeks software developers/engineers to build scalable systems enabling rapid scientific iteration, reproducibility, and production-grade CI/CD across multiple Stanford labs.

Your work will support code quality, reliability, and efficiency while collaborating with leading labs in neuroscience and artificial intelligence, including Tolias and Moore labs, on