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effectively with a range of stakeholders. Experience working with a range of computer systems and applications, including microwave/microelectronics and low-level software languages such as C/C++ and/or FPGA
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systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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- Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- AI
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- Computer Science EE 301: Digital Systems Design with HDL Position: Lecturer - Academic Year Semester: Fall 2025 Days/Times: Varies multiple sections Modality: In-person College: College of Science, Technology
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engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL, SystemC), reconfigurable architectures (e.g. FPGA, CGRA) What we expect from you: above-average degree
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developing integrated systems to automate the acquisition and interpretation of neutron scattering data. You will contribute to the development of FPGA tools for real-time processing of live neutron
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, SystemC), reconfigurable architectures (e.g. FPGA, CGRA) What we expect from you: above-average degree achieved in short study period willingness and ability to think beyond the boundaries of your field
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in advanced firmware design for state-of-the-art FPGA architectures. The role involves working with industry-standard tools (e.g., Intel Quartus or AMD Vivado, Modelsim/Questa), implementing high-speed
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solutions across to multiple facilities. Lead a team of engineers to conduct engineering research in control system challenges such as integration of infrastructure for AL/ML research, control system cyber
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hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software