135 coding-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
-aided control of manipulators on mobile robots for real world applications Prototyping in scripting languages Transitioning applications to deployment with production quality code Designing, developing
-
malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader
-
closely with the INI faculty and staff to identify and develop new market opportunities for the INI globally, in the U.S. and in the Pittsburgh region. In addition, the Director of Strategic Relations
-
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
-
, you will identify, shape, apply, and conduct 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
-
possess an active TS/SCI DoW security clearance issued by the U.S. government. A counterintelligence polygraph is required or must be obtained upon request. Applicants must also meet additional customer
-
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
-
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
-
malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader
-
; 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