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Lead Research Software Engineer

2 months ago

Princeton New Jersey, United States Princeton University Full time
About the Role

We are seeking a highly skilled and experienced Senior Research Software Engineer to join our AI Initiative at Princeton University. As a key member of our team, you will play a critical role in developing innovative software solutions for cutting-edge AI research.

Key Responsibilities
  • Lead a team of Research Software Engineers in developing and maintaining large AI models and software infrastructure.
  • Collaborate with researchers to design, implement, and deploy AI solutions that meet the needs of our academic community.
  • Develop and maintain software libraries, environments, and GitHub repositories to support AI research.
  • Provide technical expertise and guidance to team members on software development best practices, programming languages, and high-performance computing.
  • Mentor and train junior team members in advanced computational techniques and AI-specific topics.
  • Organize professional development activities for the team, including code reviews and project management.
  • Conduct annual performance reviews and provide feedback to team members.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Strong coding skills and experience with large AI models.
  • Experience leading multiple software projects and managing a team.
  • Familiarity with GPU computing environments and ML frameworks and libraries.
  • Prior research experience in AI/ML and/or contributions to open-source libraries.
  • Strong written and oral technical communication skills.
About Princeton University

Princeton University is a world-renowned institution dedicated to advancing knowledge and understanding through teaching and research. Our AI Initiative is a multidisciplinary effort to develop and apply AI technologies to address complex problems in various fields.

What We Offer
  • Competitive compensation package.
  • Opportunities for professional growth and career advancement.
  • Collaborative and inclusive work environment.
  • Access to state-of-the-art research facilities and resources.