464 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
programs in computer science, AI, robotics, autonomy, and/or biological sciences Requirements: Successful background check Joining the CMU team opens the door to an array of exceptional benefits. Benefits
-
CMU. This program will be a key part of the Major Administrative Systems Governance (MASG) initiative, which is CMU's approach to coordinating large-scale administrative technology initiatives. The MASG
-
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
-
of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing
-
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
-
to strengthen the security and resilience of computer systems and networks; and The Software Solutions Division, which focuses on improving lifecycle engineering technologies and assuring complex, software
-
through their work. Qualifications: Bachelor’s degree in IT, computer science, human computer interaction, graphic, design, media production, or other related fields 2+ years of experience in UX design and
-
following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
-
place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration From creative writing to statistics and data science, behavioral economics to social and
-
following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC