Senior DSP/Wireless Communications Engineer

Are you passionate about architecting the core intelligence of next-generation wireless systems? Our company is pioneering the future of wireless communication—developing a cutting-edge long-range, device-to-device system designed for high data rates, ultra-low latency, and exceptional resilience in challenging interference environments.

This includes exploring and integrating advanced techniques, potentially including machine learning, to solve complex wireless challenges. If you are driven to develop groundbreaking algorithms, simulate their real-world impact, and collaborate to see them realized in hardware, this is your defining moment!

• Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.
• Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.
• Algorithm design and specification for critical PHY components, including but not limited to advanced OFDM techniques, MIMO systems (including beamforming, spatial multiplexing, interference mitigation), robust channel estimation and equalization, adaptive modulation and coding (AMC), and sophisticated synchronization schemes.
• Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.
• Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.
• Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.
• Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.
• Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.
• Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.
• Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.
• Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

• M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.
• Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.
• Expertise in several of the following areas:
• OFDM and advanced multicarrier techniques.
• MIMO systems: Spatial multiplexing, STBC, beamforming, interference alignment/cancellation.
• Channel Estimation and Equalization: Advanced techniques for time-varying and frequency-selective channels.
• Synchronization: Robust timing, frequency, and phase synchronization methods.
• Channel Coding Theory: Strong understanding of LDPC, Turbo Codes, Polar Codes, Viterbi algorithm (design principles, performance analysis).
• Adaptive Signal Processing: Adaptive filtering, link adaptation (AMC).
• Proficiency in MATLAB and/or Python is essential for algorithm development, system modelling, simulation, and data analysis.
• Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.
• Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.
• Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.
• Experience with communication system performance analysis and defining key performance indicators (KPIs).
• Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.
• Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

• A genuine passion for research, innovation, and pushing the boundaries of wireless technology, with a winning attitude.
• Strong analytical and problem-solving skills, with the ability to tackle complex and abstract technical challenges.
• Comfortable navigating complex, fast-paced R&D environments with evolving technological landscapes.
• Ability to evaluate high-level system requirements and translate them into robust and innovative algorithmic solutions.
• Excellent communication skills, capable of clearly articulating complex technical concepts to diverse stakeholders (technical and non-technical).
• Ability to create and maintain high-quality, detailed documentation for algorithms, models, and simulation results.
• Proven ability to work autonomously on research and design tasks, as well as collaboratively within a multi-disciplinary team using tools like Jira, Confluence, and Git.