Software Developer 1 (1 Year Fixed Term) (Hiring Immediately)

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.

This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking talented software developers / engineers to support the whole team by developing and scaling the systems that allow our scientists to iterate quickly. In this role, you will play a critical role in ensuring the reproducibility and production-readiness of our codebase, as well as implementing Continuous Integration and Continuous Deployment (CI / CD) processes for all teams involved in the project. Your work will be essential in maintaining the highest standards of software quality, reliability, and efficiency.

This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias ( https : / / toliaslab.org ), Tirin Moore ( https : / / www.moorelabstanford.com ) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro-AI research.

Role & Responsibilities :

Develop and maintain reproducible, production-grade software / library for various aspects of the project, including data processing, machine learning, and data / compute infrastructure management

Implement and manage CI / CD pipelines using tools like GitHub Actions, Code Coverage, and unit testing frameworks

Collaborate with data scientists, machine learning engineers, and systems engineers to ensure seamless and timely integration of code and infrastructure

Help establish and enforce coding standards, best practices, and documentation guidelines across the project

Conduct code reviews and provide constructive feedback to maintain code quality and consistency

Optimize code performance, scalability, and reliability

Troubleshoot and debug software issues, and provide timely solutions

Stay up-to-date with the latest trends and best practices in software engineering and CI / CD methodologies

Duties include :

• 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

What we offer :

Application :

In addition to this application, please send your CV and one page interest statement to : recruiting@enigmaproject.ai

DESIRED QUALIFICATIONS :

EDUCATION & EXPERIENCE (REQUIRED) :

Bachelor's degree and three years of relevant experience or a combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED) :

CERTIFICATIONS & LICENSES :

None

PHYSICAL REQUIREMENTS

WORKING CONDITIONS :

May work extended hours, evenings and weekends.

The expected pay range for this position is $107,423 to $133,600 annually.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https : / / cardinalatwork.stanford.edu / benefits