PHY Algorithm Engineer jobs in Israel

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for highly motivated, experienced, and passionate wireless algorithm experts for the research and design of advanced cellular communication algorithms, leveraging neural networks and machine learning techniques, for our 5G and beyond products. What you'll do: • Conduct algorithmic research, balancing performance, implementation cost, real-time constraints, and time-to-market, with a strong focus on ML-based approaches for PHY layer processing. • Design and train neural network models for PHY tasks such as channel estimation, signal detection, beamforming, and decoding, targeting real-time inference on embedded platforms. • Develop algorithms from initial research and simulation through to official customer releases, including literature reviews, ML model prototyping using Python, PyTorch, and TensorFlow, MATLAB modeling, specification writing, and support throughout implementation and end-to-end integration. • Evaluate and benchmark ML-based solutions against traditional DSP approaches, considering accuracy, latency, computational cost, and overall system performance. What you should have: • 3+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow, or similar) and neural network architectures (CNNs, RNNs, transformers, autoencoders). • Familiarity with model optimization techniques for real-time deployment: quantization, pruning, knowledge distillation, and hardware-aware neural architecture search. • An independent problem solver with excellent mathematical and analytical skills. • Eager to learn and develop your professional skills in the fields of wireless communications and applied machine learning. • Team player: Excellent communication skills, and ability to thrive in a global multi-site environment. • Experience applying ML/DL to physical layer problems (e.g., channel estimation, MIMO detection, CSI feedback, learned codebooks, or end-to-end learned communication systems) - Advantage. • Experience in PHY algorithms development for wireless modems - Advantage. • Good understanding of the cellular standards (LTE/NR) - Advantage. • Experience with ONNX Runtime, TensorRT, or similar inference engines - Advantage. Education: • M.Sc / PhD in electrical engineering (major in communication theory and systems, signal processing, and/or machine learning - Advantage). Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

At D-Fend Solutions, our people are our greatest strength — and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats. As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones — with precision and reliability. Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. We’re proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies. We’re seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment — those who want to be part of the next generation of airspace security innovation. Join D-Fend Solutions and help make the world a safer place. Become a D-Fender! Work with the world’s leading cyber-takeover counter-drone technology provider and shape the future of safe airspace. Scope: We are seeking a highly skilled Senior Communication PHY Algorithms Engineer. This senior role is focused on the end-to-end research, design, and implementation of digital receivers for proprietary drone communication signals. Responsibilities: • Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity. • Develop and maintain simulations using MATLAB and Python. • Design digital receiver modules to be implemented either by FPGA of SW. • Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer. • Accompany the integration process of the feature until its end-to-end operation. Key Qualifications: • M.Sc. or Ph.D. in Electrical Engineering (EE) from a top-tier university, specializing in Digital Signal Processing (DSP) and Communication • Minimum 10 years of experience in research and design of wideband wireless communication algorithms. • Strong analytical skills with proven ability to mathematically characterize and solve detection and communication problems. • System-level understanding of wireless communication, including RF, Analog, and Digital domains. • Proficiency in MATLAB and Python programming. • Hands-on experience in large-scale Software (SW) development projects. • Excellent collaboration and teamwork skills, with the ability to work effectively in interdisciplinary teams. • Independent, Enthusiastic and Creative. Preferred: • Hands-on experience operating RF lab equipment, including Spectrum Analyzers, and Vector Signal Generators. • Familiarity with standard wireless communication protocols (e.g., Cellular, WiFi) is strongly preferred.

Your Impact As a PHY Algorithm Engineer, you will contribute directly to the modeling, simulation, and performance optimization of advanced physical layer (PHY) and modem algorithms for our flagship Silicon One ASICs. Working alongside senior algorithm architects and silicon designers, you will translate theoretical communication concepts into high-fidelity MATLAB simulation models, analyze signal processing tradeoffs, and help validate algorithm performance on real silicon in the lab. Key Responsibilities: • Model & Develop PHY Algorithms: Design, simulate, and analyze digital signal processing (DSP) and modem algorithms for high-speed SerDes physical layer architectures. • Build High-Fidelity Simulation Models: Develop and maintain comprehensive MATLAB and Simulink models to evaluate bit error rates (BER), equalization tradeoffs (CTLE, FFE, DFE), and noise performance. • Optimize Modem Parameters: Characterize and tune algorithm configuration parameters to enhance receiver sensitivity, link robustness, and hardware implementation feasibility. • Support Hardware & Software Integration: Collaborate closely with digital ASIC design, firmware, and systems engineering teams to ensure accurate fixed-point translation and RTL implementation of algorithm models. • Perform Lab Validation & Debug: Participate in hands-on silicon bring-up, lab measurements, and data collection to correlate simulation predictions with real-world silicon behavior. Minimum Qualifications • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. • 2+ years of hands-on experience in PHY algorithm development or related high-speed communication systems, with a broad system-level orientation and perspective. • Hands-on MATLAB experience for algorithm development, simulation, and testing. • Solid theoretical foundation in digital signal processing (e.g., adaptive filtering, equalization, clock and data recovery, modulation). • Practical understanding of communication systems and receiver/transmitter modem architectures. Preferred Qualifications • Experience with high-speed SerDes systems, wireline communications, or high-speed optical/electrical PHY architectures. • Hands-on experience with lab test equipment (high-bandwidth oscilloscopes, BERTs, spectrum analyzers) for silicon characterization and signal integrity validation. • Familiarity with fixed-point modeling, C/C++, or Python scripting for simulation flow automation. • Background in algorithm tuning, parameter optimization, or link-budget analysis. • Strong analytical mindset, proactive problem-solving skills, and a collaborative team orientation. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.