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Field
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general experience in software development, computing, GPU computing, and data management for the support of AI projects. An ideal candidate also has a good understanding of recent advancement in AI and
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minimum of ten years of experience in high-performance computing, including five or more in a leadership capacity managing large-scale GPU-based systems; a strong technical background in HPC infrastructure
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
operational improvements. PREFERRED: Familiarity with IT service management frameworks, vendor coordination, and GPU or cloud-based infrastructure. Revised 12/19/2025
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
GPU computing; scripting in Python or Bash; and container orchestration tools like Docker and Kubernetes; and experience in cloud-based HPC or AI/ML workloads. 12/3/2025
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manages model onboarding, platform health, monitoring, and configuration across on-premises GPU systems and cloud providers, ensuring reliability and security. Additionally, the AI Solutions Engineer II
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environment. Expand your technical expertise while supporting research projects across multiple academic fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing
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render diferenciable (NVDiff) -Conocimientos de render de fibras (pelo, ropa) Conocimiento de lenguajes gráficos y GPU: Vulkan, GLSL, CUDA Additional Information Selection process The selection
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
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orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation package, with
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have access to state-of-the-art facilities and major cyberinfrastructure investments, including the Advanced Research Computing Center (ARCC), the NCAR-Wyoming Supercomputing Center (NWSC), GPU computing