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Senior Research Scientist - Advanced Computing Lab

SEI - Carnegie Mellon University
Pittsburgh, United Statesfull_timeVerifiedPosted 20 Jan 2026

About the role

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.  

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we  

  • Build real-world, mission-scale AI capabilities through solving practical engineering problems 

  • Discover and define the processes, practices, and tools to support operationalizing AI for human-centered, robust, secure, and scalable mission capabilities 

  • Prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities 

  • Identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape 

Are you creative, curious, and collaborative? Do you enjoy doing meaningful and complex work? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. 

Position Summary:  As a senior research scientist with proven expertise in advanced computing, you will identify, shape, apply, conduct, and lead research in support of critical U.S. government needs. 

The ideal candidate will have a strong background with hands-on experience in one or more of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. 

 

Duties 

  • Lead novel research in advanced computing and applied machine learning.  

  • Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.  

  • Conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. 

  • Test and evaluate new and novel systems for performance and usability. 

  • Collaborate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential

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Company

SEI - Carnegie Mellon University

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