- PhD in a technical field such as computer science, biology, climate, astrophysics, or a related computational science
- Grant & Funding Acumen: Proven track record of supporting large-scale, federally funded, or private scientific grant proposals.
- In-depth knowledge of data center storage and networking technologies and solutions.
- Proficiency with modern machine-learning hosting software frameworks, such as NVIDIA Dynamo, TensorFlow Serving, Ray, etc.
- Prior leadership of data center infrastructure initiatives and projects, such as evaluating hardware scalability, securing data, or executing large-scale upgrades.
- Expertise in relevant technical focus areas, e.g., AI model performance monitoring or network and storage optimization, etc.
- Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI.
- Ability to work with and effectively translate technical concepts across multiple scientific disciplines.
- Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.
- Experience working with science-focused institutions such as philanthropic organizations or academic/government research institutions.
This is an exempt position.
diverse workforce. We do not make hiring or employment decisions on the basis of race, color,
religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual
orientation, disability, age, military or veteran status, or any other basis protected by applicable local,
state, or federal laws or prohibited by Company policy. We strive for a healthy and safe workplace and
strictly prohibit harassment of any kind.
