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As a DSP Engineer, you will play a critical role in advancing state-of-the-art technology for drone detection and localization through RF spectrum analysis. By designing and implementing sophisticated signal processing algorithms, you will directly contribute to enhancing security and safety in a rapidly evolving field. This position offers you the opportunity to work on innovative, real-world challenges that will sharpen your expertise in DSP, wireless communication, and software development. You'll collaborate with a multidisciplinary team, expand your technical horizons, and gain invaluable experience in cutting-edge systems with a tangible societal impact. This is a career-defining opportunity to innovate and grow in a high-demand, high-tech industry.
Job Responsibility:
RF Spectrum Analysis: Perform advanced analysis and feature extraction from RF signals using Software Defined Radio (SDR) frameworks and other state-of-the-art tools. Write prototype code in Python or Matlab to proof concepts
Design and Implementation: Develop and optimize real-time signal-processing algorithms in C++ and CUDA to detect, classify, and locate drones within RF spectrum data. Ensure scalability and performance of the software in real-world applications
Cross-Functional Collaboration: Work with hardware, software, and data fusion teams to integrate DSP components seamlessly into larger systems, contributing to end-to-end solutions
Mentorship and Leadership: Act as a technical resource and mentor for junior team members, fostering a collaborative and innovative team environment
Continuous Improvement: Stay updated on advancements in DSP, SDR, and wireless communication to identify new tools, techniques, and approaches that enhance system capabilities
Documentation and Communication: Create detailed technical documentation for developed algorithms and processes. Present findings, updates, and project milestones to stakeholders appropriately
Tool Development and Maintenance: Develop utilities in Python and C++ for testing, data analysis, and algorithm validation, ensuring maintainability and robustness
Requirements:
Master’s, or Ph.D. in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field, with 3+ years of relevant experience
Robust expertise in digital signal processing, including modulation methods, frequency analysis, and digital filters
Proficiency in C++ and Python, with experience in developing real-time systems and prototyping signal processing algorithms
Solid knowledge of wireless communication systems such as LTE PHY, IEEE802.11 (Wi-Fi), and IEEE802.15.4
Exemplary problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts successfully