Senior DSP/Wireless Communications Engineer

Are you passionate about architecting the core intelligence of next-generation wireless systems? Our R&D team 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.

As a Senior DSP/Wireless Communications Engineer, you will be at the heart of this innovation. You will research, design, model, and validate advanced Physical Layer (PHY) and lower-MAC algorithms that define the performance and capabilities of our novel communication links.

Key Responsibilities:

• 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.
• Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.
• 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.

Required:

• 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:

1. OFDM and advanced multicarrier techniques.
2. MIMO systems: Spatial multiplexing, STBC, beamforming, interference alignment/cancellation.
3. Channel Estimation and Equalization: Advanced techniques for time-varying and frequency-selective channels.
4. Synchronization: Robust timing, frequency, and phase synchronization methods.
5. Channel Coding Theory: Strong understanding of LDPC, Turbo Codes, Polar Codes, Viterbi algorithm (design principles, performance analysis).
6. 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.
• 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.
• Will be a plus: Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.

What we offer:

• Competitive salaries
• Official employment
• Ability to work in flexible R&D environment 
• Mobilization reservation for employees