Advanced Computing Lab Intern (Summer 2027)
Carnegie Mellon University
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningData structures & algorithmsPythonC++C
- Work
- On-site in Pittsburgh · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python68%Machine learning39%C++24%Data structures & algorithms15%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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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. The division leads a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As government customers adopt AI and machine learning (ML) to provide leap-ahead mission capabilities, the SEI AI Division:
- Builds real-world, mission-scale AI capabilities by solving practical engineering problems.
- Discovers and defines processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities.
- Prepares customers for the unique challenges of adopting, deploying, using, and maintaining AI capabilities.
- Identifies and investigates emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.
Position Summary
As an intern in the 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.
Key Responsibilities
- 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 & Tech Stack
- Python, C/C++
- Verilog, VHDL, or other HLS languages
Qualifications
- 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.
- 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.