Solutions Architect Scientific GPU Compute
Nonpartisan nonprofit policy initiative producing recommendations on U.S. competitiveness in AI and other emerging technologies.
Funding history
Investors
About Special Competitive Studies Project
Special Competitive Studies Project (SCSP) is an Arlington, Virginia private operating foundation focused on how AI and emerging technologies affect U.S. national security, the economy, and society. It publishes policy work and operates programs, assessments, and convenings.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will advise researchers on GPU, AI and machine-learning, HPC, and cloud requirements. You will lead technical onboarding and training, align research proposals with available compute resources, and share researcher feedback to improve compute services and research tools.
Requirements
- Post-graduate degree in computer science, biology, climate, astrophysics, or a related computational science field
- 8 or more years of combined AI and machine-learning infrastructure and research-facing technical advisory experience
- Ability to communicate complex technical and scientific concepts to research scientists and executive leadership
- Hands-on experience with Slurm and Kubernetes cluster workload management
- Track record of accelerating time from grant approval to first result for computationally intensive projects
- Understanding of the technology stack for production-scale AI models
- Technical writing experience for expert and general audiences
- Ability to travel within the United States regularly
Responsibilities
- Advise leadership and principal investigators across scientific disciplines
- Conduct technical consultations to translate scientific goals into GPU, AI and machine-learning, HPC, and cloud requirements
- Lead onboarding of research teams and institutions onto compute infrastructure
- Provide training to improve cloud and compute proficiency
- Help grantees align proposals and research activities with available compute resources
- Deliver researcher insights to product and engineering teams to improve compute services and research tools