Global HPC Systems Architect for AI/ML Research
Autonomai Recruitment
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Job summary
Autonomai Recruitment seeks an HPC Systems Architect for Chicago's research infrastructure. You will shape the compute, storage, and networking stack for high-demand ML and quantitative research workloads, operating across global environments.
The role is hands-on, requiring experience from design through delivery, with attention to performance, scalability, and reliability. Collaboration with researchers and engineers is essential to translate workload needs into practical infrastructure
Qualifications
- Extensive Linux HPC engineering and architecture experience.
- Experience with workload scheduling and orchestration.
- Familiarity with high-performance storage technologies.
- Background in GPU infrastructure for AI/ML workloads.
- Strong networking knowledge for fast data movement.
Responsibilities
- Design and guide HPC infrastructure for research workloads.
- Evaluate CPU/GPU compute, storage, scheduling, and networking.
- Diagnose bottlenecks and improve throughput and scalability.
- Collaborate with researchers and engineers to translate requirements.
- Develop monitoring and analytics for performance visibility.
Skills
Education
Tools
Job description
Autonomai Recruitment seeks an HPC Systems Architect for Chicago's research infrastructure. You will shape the compute, storage, and networking stack for high-demand ML and quantitative research workloads, operating across global environments.
The role is hands-on, requiring experience from design through delivery, with attention to performance, scalability, and reliability. Collaboration with researchers and engineers is essential to translate workload needs into practical infrastructure
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