What We Do  At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (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 (ML) 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 robust, secure, scalable, and human-centered 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 today!   Position Summary:  As an intern in our Advanced Computing Lab, you will work with a team of electrical engineers and computer science researchers on analyzing and improving mission system performance metrics through the use of novel AI-focused hardware accelerators, FPGAs, optimized low-level algorithms, and experimental compilers.  Duties:  Complete tasks to support ongoing projects within the Advanced Computing Lab, which could consist of Profiling performance of various compute systems Testing and debugging ML-related algorithms Supporting the development of prototypes, tools, and demos Collecting and curating project-related code, research publications, and hardware specifications FPGA design and simulation Outdoor data-collection fieldwork that requires the physical capability to carry moderately heavy equipment (approx. 25–40 lbs) at various field sites Requirements:  Current enrollment in an undergraduate or graduate degree granting program. Able to work an internship schedule during the summer semester. Able to work on-site in the SEI Pittsburgh office. Eligibility to work in the United States without visa sponsorship. Candidates will be subject to a background check. Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.   Knowledge, Skills, and Abilities:  Experience with modern software languages such as Python and C/C++, and hardware design languages including Verilog, VHDL, or other HLS languages Familiarity with software and hardware engineering processes Strong written and verbal communication skills and ability to interact collaboratively and diplomatically with customers and colleagues Location Pittsburgh, PA Job Function Non-CMU Students Position Type Intern (Fixed Term) Full time/Part time Full time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future. Need Help? For technical assistance, email [email protected] or call 412-268-5072. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [email protected] or by phone at 412-268-3930.

Advanced Computing Lab Intern (Summer 2027).

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