Advanced Computing Lab Intern (Summer 2027)

About the SEI AI Division

The SEI AI Division conducts research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (AI) technologies and systems. We lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. Our work involves:

• Building real-world, mission-scale AI capabilities by solving practical engineering problems.
• Discovering and defining the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities.
• Preparing customers for the challenges of adopting, deploying, using, and maintaining AI capabilities.
• Identifying and investigating emerging AI and AI-adjacent technologies.

About the Role: Advanced Computing Lab Intern (Summer 2027)

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. This will involve using novel AI-focused hardware accelerators, FPGAs, optimized low-level algorithms, and experimental compilers.

Key Responsibilities

• Complete tasks to support ongoing projects within the Advanced Computing Lab.
• 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 & Tech Stack

• 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.
• Background check will be conducted.
• 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.

Qualifications

• Experience with modern software languages such as Python and C/C++.
• Experience with hardware design languages including Verilog, VHDL, or other HLS languages.
• Familiarity with software and hardware engineering processes.
• Strong written and verbal communication skills.
• Ability to interact collaboratively and diplomatically with customers and colleagues.