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Field
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California State University San Marcos | San Marcos, California | United States | about 17 hours ago
in digital systems design. Utilizes register-transfer level tools for logic synthesis, simulation, and the implementation of digital circuits in field-programmable gate arrays (FPGAs). Includes
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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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Signal Processing FPGA development Computer Networking Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration of Software Defined Radio
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functional support to ESA projects and carries out technological research and development (R&D) in the field of integrated circuits, relating, for example, to ASICs, ASSPs, FPGAs, microprocessors and
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include: Technical team and/or program management Electronics design and assembly Digital Signal Processing Embedded Microcontrollers and FPGA programing Linux and RTOS operating systems Ability to navigate
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. Experience designing or maintaining FPGA devices. Expertise in the use of electronics test equipment. Machine shop skills as applies to electronics fabrication. Demonstrated experience for which significant
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topics of microcontroller programming, embedded digital systems, and FPGA will be a plus. Competency with software packages such as MATLAB, Azure DevOps, and Jira are highly desirable. Te Whiwhinga mahi
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platforms: VME, PLC, µTCA, FPGA. Knowledge of current government cyber security orders and best practices for industrial control systems cyber security. Special Requirements: Physical Requirements: Work
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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
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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