380 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Carnegie Mellon University
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, knowledge‑sharing, and supportive collaboration Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field At least 3 years of experience developing
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Carnegie Mellon University’s Robotics Institute is searching for a Robotics Engineer to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging
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The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
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Carnegie Mellon University (CMU) – a global leader in education, research, and innovation across computing, artificial intelligence, engineering, science, business, arts, and public policy – invites
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Software Engineers to work at the intersection of state of the art computer science and cutting edge astrophysics. The engineers will design and build analysis frameworks that run on the cloud or high
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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach
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collaboration Required Qualifications: Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field 4+ years of professional experience developing full
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curious to deliver work that matters, your journey starts here! The Department of Engineering and Public Policy (EPP) is a unique department in the College of Engineering at Carnegie Mellon University which
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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
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candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory