Neuro-AI Foundation Software Engineer

Stanfordlivetickets; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Stanford University seeks software developers/engineers to support a multi-lab Neuro-AI project aimed at building a foundation model of the brain. You will help ensure reproducibility, production-readiness, and implement CI/CD across teams in a cutting-edge neuroscience environment.

You will work with Python and system-level languages (C/C++, Rust) and leverage Docker, Kubernetes, and Slurm for scalable workflows, while contributing to ML frameworks like TensorFlow or PyTorch.

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).
• Experience with Git and GitHub, and with CI/CD tools like GitHub Actions and Jenkins.
• Experience with test-driven development and various testing methodologies.
• Familiarity with Docker, Kubernetes and Slurm for containerization/orchestration.
• Knowledge of software design patterns and architectures, open-source contributions a bonus.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving, communication and collaboration skills.

Responsibilities

• Assess user needs and requirements.
• Design and develop applications that may involve 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.

Tools

Git

GitHub Actions

Jenkins

Docker

Kubernetes

Slurm

TensorFlow

PyTorch

CI/CD pipelines

Python

C/C++

Rust

Job description

Stanford University seeks software developers/engineers to support a multi-lab Neuro-AI project aimed at building a foundation model of the brain. You will help ensure reproducibility, production-readiness, and implement CI/CD across teams in a cutting-edge neuroscience environment.

You will work with Python and system-level languages (C/C++, Rust) and leverage Docker, Kubernetes, and Slurm for scalable workflows, while contributing to ML frameworks like TensorFlow or PyTorch.