6 of 6 Digital Signal Processing Jobs in Scotland

tailored to project requirements. Ensure software meets strict real-time performance constraints, focusing on latency, throughput, and efficient use of system resources (e.g., memory, processing power). Lead efforts in hardware/software integration to ensure seamless operation of real-time solutions. Optimize performance and efficiency of signal processing algorithms and embedded systems. Mentor junior and mid-level engineers, providing technical guidance, best practices, and support for skill development. Conduct code reviews, design evaluations, and testing to uphold high-quality standards. Investigate and resolve complex technical issues in real-time systems, ensuring reliability and robustness. Debug … Contribute to the creation and maintenance of comprehensive technical documentation. Essential Criteria: Proven professional experience in the design, simulation, implementation, verification and validation of digital circuits on FPGA devices, DSP and Microcontroller. Proven experience in programming in VHDL language and in the use of Xilinx Vivado tools Proven experience More ❯

tailored to project requirements. Ensure software meets strict real-time performance constraints, focusing on latency, throughput, and efficient use of system resources (e.g., memory, processing power). Lead efforts in hardware/software integration to ensure seamless operation of real-time solutions. Optimize performance and efficiency of signal processing algorithms and embedded systems. Mentor junior and mid-level engineers, providing technical guidance, best practices, and support for skill development. Conduct code reviews, design evaluations, and testing to uphold high-quality standards. Investigate and resolve complex technical issues in real-time systems, ensuring reliability and robustness. Debug … Contribute to the creation and maintenance of comprehensive technical documentation. Essential Criteria: Proven professional experience in the design, simulation, implementation, verification and validation of digital circuits on FPGA devices, DSP and Microcontroller. Proven experience in programming in VHDL language and in the use of Xilinx Vivado tools Proven experience More ❯

tailored to project requirements. Ensure software meets strict real-time performance constraints, focusing on latency, throughput, and efficient use of system resources (e.g., memory, processing power). Lead efforts in hardware/software integration to ensure seamless operation of real-time solutions. Optimize performance and efficiency of signal processing algorithms and embedded systems. Mentor junior and mid-level engineers, providing technical guidance, best practices, and support for skill development. Conduct code reviews, design evaluations, and testing to uphold high-quality standards. Investigate and resolve complex technical issues in real-time systems, ensuring reliability and robustness. Debug … Contribute to the creation and maintenance of comprehensive technical documentation. Essential Criteria: Proven professional experience in the design, simulation, implementation, verification and validation of digital circuits on FPGA devices, DSP and Microcontroller. Proven experience in programming in VHDL language and in the use of Xilinx Vivado tools Proven experience More ❯

using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone … regulations. Key Skills: Software/Embedded Systems: Expertise in programming languages such as C/C++, Python, and embedded software development. Experience with radar digital signal processing (DSP), including FFT, filtering, and noise reduction techniques (CFAR, Kalman filters). Proficiency with radar simulation tools, hardware integration, and … flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in aviation safety standards and radar certification processes. More ❯

using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone … regulations. Key Skills: Software/Embedded Systems: Expertise in programming languages such as C/C++, Python, and embedded software development. Experience with radar digital signal processing (DSP), including FFT, filtering, and noise reduction techniques (CFAR, Kalman filters). Proficiency with radar simulation tools, hardware integration, and … flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in aviation safety standards and radar certification processes. More ❯

using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone … regulations. Key Skills: Software/Embedded Systems: Expertise in programming languages such as C/C++, Python, and embedded software development. Experience with radar digital signal processing (DSP), including FFT, filtering, and noise reduction techniques (CFAR, Kalman filters). Proficiency with radar simulation tools, hardware integration, and … flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in aviation safety standards and radar certification processes. More ❯