Schmidt Entities

Compute Infrastructure Engineer, AI and Advanced Computing Center

New York, NY

Sponsorship not specified$150k-$170kDetected 148 days ago

CI/CDLinuxTensorFlowAI OrchestrationResearchLeadershipWriting

About the role

Reporting to the Compute Program Scientist in the AI Institute, the Infrastructure Engineer will provide technical leadership and apply computational infrastructure management expertise across AI Institute and Schmidt Sciences multidisciplinary efforts.
This role requires up to 50% domestic travel.

Implement performant solutions that meet industry compliance and security standards while enabling rapid development workflows.
Collaborate with hardware and software vendors on methods and configurations that maximize system resource utilization.
Additional Schmidt Sciences Support
Work with other members of the Schmidt Sciences technical team to implement new deployment strategies and application hosting capabilities in support of diverse applications and user audiences.
Maintain awareness and track industry trends for hardware and software tooling that simplifies infrastructure management, while lowering the cost of deploying and supporting multi-tenant research applications.
Understanding of the tech stack needed to design, train, deploy, and maintain state-of-the-art AI models at a production scale.

Success for this role is defined by the adherence to the industry's best DevSecOps practices at scale, and the ability to quickly address computing needs from multiple research teams.

Continually identify, evaluate, and deploy open source and proprietary technologies that meet the combined infrastructure requirements from an evolving list of projects.
Assist existing programs by providing infrastructure management advice, while working closely and collaboratively with multiple subject matter expert teams.
Participate in relevant industry events and forums, representing Schmidt Sciences' presence on AI and advanced computing issues.
A Bachelor's degree from an accredited institution, with a focus on Computer Science, Information Technology, or a related field.
5+ years of professional experience managing production-grade compute clusters.
Proficiency with code-management and infrastructure-provisioning tools and best practices.
Hands-on experience with workload management using Slurm and Kubernetes.
Proficiency in building, deployment, and troubleshooting containerized Linux workloads, including GPU-accelerated configurations.

This listing is sourced directly from Schmidt Entities's careers page and normalized into a canonical job model.