388 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Field
-
Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and relevant experience. 5+ years of experience in DevOps, SRE, platform
-
careers in the fields of science, technology, engineering or mathematics. The program provides instruction in biological sciences, chemistry, physics, mathematics, and computer science, with emphasis
-
computing, you will identify, shape, apply, conduct, and lead 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
-
the field of Computer Science. Perform other academic duties as required. Must have a PhD in Computer Science or a closely related field and prior experience teaching at the university level. Carnegie Mellon
-
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
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
for teaching relevant coursework on Computational Finance in the Computer Science Department. Typical duties include, but aren't limited to: Planning and creating lectures, in-class discussions, and assignments
-
who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor’s degree in Computer Science, Information Science, Computer Engineering, or a
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
-
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