Radio Frequency System Engineer

Rydberg Technologies is seeking a dynamic Senior Radio Frequency (RF) Engineer to lead the design, development, and deployment of next-generation RF systems at the intersection of advanced electromagnetics, software-defined architectures, and quantum sensing. This is a hands-on, high-ownership technical leadership role responsible for building novel antenna and front-end architectures, advanced signal processing pipelines, and direction-finding capabilities that push the limits of state-of-the-art RF engineering.

You will work closely with a cross-functional team of quantum physicists, hardware engineers, and software developers to architect and deliver integrated RF-quantum sensor systems, translating cutting-edge research into engineered products. The ideal candidate is innovative, execution-driven, comfortable with both system-level planning and meticulous technical detail and thrives in a fast-paced environment where first-of-a-kind technology is built.

We are looking for individuals who are solution-oriented, deeply organized, self-motivated, and capable of working both independently and collaboratively while contributing to a bold roadmap in quantum-enabled RF sensing.

• Experience designing, implementing, and optimizing novel antenna front-end hardware and RF electronics
• Experience in simulation across a wide range of frequency bands for antenna front-end hardware and circuitry using advanced electromagnetic simulation software
• Ability to conduct / direct a team to execute RF test and measurement activities, including RF characterization, performance testing, and validation, using RF test equipment
• Excellent cross-disciplinary communication, documentation, and time management

• Software-defined radio (SDR) solutions for advanced RF applications
• Design and implement RF electronics for RF systems, such as frequency synthesizers, power amplifiers, and RF switches, to meet system requirements.
• Research, analyze, and evaluate RF waveforms to develop algorithms and models for signal identification, classification, and direction finding.
• Provide technical expertise and guidance to junior engineers and support staff.
• Stay current with industry trends, emerging technologies, and best practices in RF engineering, signal processing, hardware design, electronic warfare.
• Engineering Design: Experience in sophisticated engineering design (Solid Works) and electromagnetic simulation (ANSYS Electronics).
• Antenna Design and Simulation: Expert in advanced antenna and front-end design from RF to MMW, passive and active RF receivers, radar, communication systems.
• Digital Signal Processing (DSP): Proficiency in DSP algorithms and techniques for filtering, modulation, demodulation, and signal enhancement in RF systems.
• FPGA Programming: Knowledge of FPGA programming languages such as Verilog or VHDL for implementing digital signal processing algorithms and RF signal processing tasks.
• Wireless Communication Protocols: Understanding of wireless communication protocols such as Wi-Fi, Bluetooth, LTE, and emerging technologies.
• System Integration: Experience in integrating RF systems with other subsystems, such as digital communication systems, GPS receivers, inertial sensors, and navigation systems.
• Cybersecurity: Understanding of cybersecurity principles and best practices for securing RF communication systems against cyber threats and vulnerabilities.
• Systems Engineering: Knowledge of systems engineering principles and methodologies for requirements analysis, system architecture design, and system-level integration and testing.
• Project Management: Experience in project management methodologies and tools for planning, scheduling, and executing RF system development projects.
• Regulatory Compliance: Understanding of RF regulatory standards and compliance requirements, such as FCC regulations, IEEE, EMC/EMI.
• Documentation and Reporting: Ability to create technical documentation, including design specifications, test plans, and reports, to communicate project progress and findings effectively.
• Cross-Disciplinary
  
  Collaboration:
  
  Strong collaboration and communication skills to work…