413 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Learning (TEEL) Lab is seeking a Software Engineer (Back End Systems) to maintain, improve and evolve the cloud infrastructure that powers our learning and research platforms. The TEEL Lab (https
-
, authorization, and endpoint protection Exposure to cloud platforms or distributed computing environments Data processing workflows (pre‑processing, augmentation, post‑processing) experience Background in building
-
wisdom across the SEI AI Division. Requirements: BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in
-
the Provost, Budget Office, and other key stakeholders. Drive results through effective collaboration with in-person and remote teams using cloud-based communication and workflow tools. Build strong cross
-
functions, and data visualization. Experience with data visualization platforms such as Power BI or Tableau is preferred. Experience with cloud-based ERPs and scenario planning software preferred. Possess
-
, engineering, or mathematics. The program provides instruction in biological sciences, chemistry, physics, mathematics, and computer science, with emphasis on collaborative learning and team research. We
-
Program Executive Offices (PEOs) and Program Management Offices (PMOs), sustainment organizations, contractors, and fleet stakeholders to ensure software solutions meet operational, maintainability, and
-
, you will provide key inputs to SSD leadership to develop our strategic business goals and objectives for the SEI's federal research program. Do you enjoy working with a professional cadre of program
-
advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
-
Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during