8 distributed-algorithm-"Meta"-"Meta"-"Meta" research jobs at University of California
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oral communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs
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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q
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on classical supercomputers. Design and optimize classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve
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) invites applications for a Postdoctoral Research position focused on the trait based ecology of marine macroalgae. Community ecology is often mired in case histories explaining distribution and abundance
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or experience in distributed training on large scientific datasets and staying current with new training methods and architectures. Experience with performance and profiling tools such as Perftools, NVIDIA Nsight
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Familiarity with performance tools such as NVIDIA Nsight, Perftools Experience debugging distributed memory applications Experience with containers such as Docker, Podman, or Shifter Git and modern software
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Lawrence Berkeley National Lab’s (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Postdoctoral Scholar to join the team. The Electrochemical Engineering Postdoctoral
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, assessment of wildlife abundance and distribution, and environmental parameters. Preferred Qualifications Prior experience with coordination of key stakeholders in academic and government as it pertains