Sort by
Refine Your Search
-
Country
-
Employer
- CNRS
- Oak Ridge National Laboratory
- University of Southern California
- Argonne
- EPFL
- GSI Helmholtzzentrum für Schwerionenforschung
- International Iberian Nanotechnology Laboratory (INL)
- King Abdullah University of Science and Technology
- Max Planck Institute for Physics, Garching
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Sandia National Laboratories
- UNIVERSITY OF VIENNA
- University of Antwerp
- University of Arkansas
- University of Washington
- 6 more »
- « less
-
Field
-
the implementation of the system's data plane, applying embedded design principles to high-performance networking: SmartNIC & FPGA Programming: Implement real-time flow steering logic on devices like
-
. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
-
networks, RNNs, LLMs) or in the deployment of such algorithms. Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators
-
quantum optics, quantum control, and in the development of control systems for quantum optics experiments based on FPGAs) You have experience with Python, LaTeX and MATLAB, Hadrware description languages
-
for experimental physics. Your demonstrated experience with PCB design and prototyping, electronic simulation tools (e.g. SPICE, ADS), photodetector characterization, or FPGA/DAQ integration is an advantage. You act
-
Preferred Qualifications: Experience with medium-power or medium-voltage power converters Proficiency in the programming of DSP or CPLD or FPGA Experience with wide bandgap, e.g., SiC or GaN, devices/modules
-
, spectrum analyzer, or FPGA-based data acquisition. Cryogenic measurements and equipment maintenance, preferably dilution refrigerator. Knowledge about low-noise microwave characterization, including use
-
detectors, ultra-high vacuum, tritium gas handling, magnetometry, cryogenic engineering, charged-particle trapping, atom trapping and cooling, RF/microwave cavities and radiation detection, FPGAs, Python, C
-
National Lab Screening and receive approval to the National Lab. Excellent foundation on semiconductor device physics, reliability. Hands on experience with device and system (FPGA, memory) characterization