51 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
that delivers timely and high-quality results. We’re looking for a creative engineering student to design and develop software prototypes, find weaknesses in source code and research methods for software
-
AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and
-
). Experience with Large Language Models (LLMs) and Reinforcement Learning frameworks such as Areal or SkyRL. Familiarity with coding agentic frameworks (e.g., OpenHands, SWE-Agent) and software engineering
-
, Hyper-V, Docker) for testing environments. Experience with static code analysis tools and checking compliance with industry standards. Understanding of safety instrumented systems and standards (IEC 61508
-
tasks (working with tokenizers, JSONL formats or Hugging Face datasets). Demonstrated ability to read technical research papers and implement algorithms or baselines from code repositories. A combination
-
; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
-
software-intensive systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors
-
research or engineering activities for publication. You have a reputation for the highest level of research and engineering integrity. You have demonstrated contributions and have published research, code
-
issues and develop reliable, repeatable solutions Writing clean, maintainable code and contributing to long‑term architecture decisions Participating in testing, validation, and documentation to ensure
-
Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you'll do Reverse engineer malicious code