Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Software Developer 1 role at Stanford University supports an interdisciplinary Neuro-AI project by developing and maintaining production-grade software critical for brain modeling and AI alignment research.
Responsibilities and impact
The developer will create reproducible software, implement CI/CD pipelines, collaborate with scientists and engineers, enforce coding standards, conduct code reviews, optimize performance, troubleshoot issues, and stay current with software engineering best practices.
Compensation and benefits
The position offers a competitive salary range from $107,423 to $133,600 annually along with comprehensive benefits detailed on Stanford's Cardinal at Work website, including health insurance and retirement plans.
Experience and skills
Candidates need 3+ years of experience with production-grade codebases, strong Python and system-level programming skills, expertise in Git, CI/CD tools, test-driven development, containerization, and familiarity with machine learning frameworks; a bachelor's degree or equivalent experience is required.
Career development
The role offers strong mentoring and career development opportunities within a collaborative, multidisciplinary academic environment focused on cutting-edge Neuro-AI research.
Work environment and culture
The work environment is collaborative and interdisciplinary, involving multiple labs at Stanford University with a focus on innovation in neuroscience and AI, with expectations for extended hours as needed.
Company information
Stanford University is a prestigious academic institution engaged in pioneering neuroscience and AI research through interdisciplinary projects involving multiple renowned labs and institutes.
Team overview
The candidate will join a vibrant team including labs led by Andreas Tolias and Tirin Moore, known for expertise in perception, cognition, neural recording techniques, computational neuroscience, and Neuro-AI.
Job location and travel
The position is based at Stanford University with potential for extended hours including evenings and weekends; specific remote work options are not mentioned.
Application process
Applicants must submit a CV and a one-page interest statement to the provided recruiting email; the job posting includes a note about reasonable accommodations and equal opportunity employment.
Unique job features
This role is distinguished by its involvement in a unique interdisciplinary project creating a digital twin of the brain, combining neuroscience and AI with advanced software engineering practices like CI/CD and containerization.
Company overview
Stanford University is a prestigious private research university located in Stanford, California, known for its academic excellence and significant contributions to innovation and technology. It generates revenue through tuition fees, research grants, endowments, and partnerships with industry leaders. Founded in 1885 by Leland and Jane Stanford in memory of their son, the university has a rich history of fostering entrepreneurship and has been instrumental in the development of Silicon Valley.
How to land this job
Tailor your resume to emphasize your experience in developing and maintaining production-grade codebases, especially highlighting proficiency in Python, C/C++, or Rust, and your familiarity with scientific software development challenges relevant to Stanford's Neuro-AI project.
Highlight your expertise in implementing CI/CD pipelines using tools like GitHub Actions, Jenkins, and your knowledge of test-driven development, unit testing, and integration testing to align with the role's focus on software quality and reproducibility.
Apply through multiple channels such as Stanford University's official careers page, LinkedIn, and directly via the provided recruiting email to maximize your application's visibility and ensure it reaches the right teams.
Connect with current software developers, engineers, or researchers in the Department of Ophthalmology, Wu Tsai Neurosciences Institute, or Human-Centered AI Institute on LinkedIn; use ice breakers like expressing enthusiasm for the interdisciplinary Neuro-AI project or asking about the integration of machine learning in neuroscience research to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'CI/CD', 'production-grade software', 'Python', 'GitHub Actions', 'test-driven development', 'machine learning frameworks', and 'containerization technologies' to improve your chances of passing automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailoring your resume, identify multiple application portals, and discover LinkedIn contacts for networking, allowing you to focus your energy on preparing for interviews and deepening your domain knowledge.
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