What are the responsibilities and job description for the Signal Processing Engineer position at Rydberg Technologies?
Rydberg Technologies is pioneering next-generation quantum sensors and systems based on atomic and photonic technologies. Our work spans quantum physics, photonics, embedded systems, and advanced signal processing for defense and commercial applications. We are seeking a Quantum Signal Processing Engineer to support the development of advanced signal processing systems for cutting-edge sensing technologies. This role spans algorithm development, real-time implementation, and system integration. The ideal candidate combines strong skills in mathematical modeling and software prototyping with experience in hardware or embedded system development.
You will work closely with a multidisciplinary team to design, simulate, and implement real-time DSP systems that extract meaningful signals from complex, noisy environments. This position offers the opportunity to contribute to high-impact research and development at the intersection of physics, engineering, and computing.
Responsibilities include:
lgorithm & Software Development
-Design and implement DSP algorithms for advanced sensor and measurement systems.
-Develop real-time subspace tracking methods for streaming signal data.
-Apply time-frequency analysis, spectral estimation, and statistical techniques to extract weak signals in noise.
-Simulate and implement signal decomposition techniques (e.g., covariance EVD, Hankel/SVD methods, adaptive filtering).
-Prototype in Python, MATLAB, or C , and transition algorithms to real-time embedded implementations (e.g., CUDA, Verilog, or embedded C).
-Build and maintain reusable simulation frameworks and signal processing pipelines.
-Contribute to system-level integration and collaborate with a multidisciplinary team of physicists, software developers, and engineers.
Hardware & System Integration
-Interface with FPGAs, GPUs, or microcontrollers for real-time DSP and hardware acceleration.
-Support design and development of custom analog/digital front-ends and low-noise acquisition systems.
-Implement data acquisition and signal processing systems for high-dynamic-range optical or RF signals.
-Lead lab-based testing and help transition systems from prototype to deployment.
-Evaluate system-level tradeoffs (e.g., bandwidth, latency, precision, power).
-Document designs, implementation strategies, and test results for internal and external reporting.
Qualifications
-Bachelor’s, Master’s, or PhD in Electrical Engineering, Physics, Computer Engineering, or a related field.
-Strong experience in DSP algorithm development and implementation.
-Proficiency with Python, MATLAB, or C ; experience with embedded firmware (C, VHDL, Verilog, CUDA) is a plus.
-Background in one or more of: spectral estimation, statistical signal processing, subspace methods, demodulation, beamforming, or adaptive filtering.
-Familiarity with hardware integration and real-time embedded systems (e.g., FPGA, SDR, or sensor platforms).
-Interest in quantum technologies, atomic sensors, or photonics is highly desirable.
-Ability to work collaboratively in a research and development environment.
Rydberg Technologies offers a collaborative and high-impact work environment at the intersection of physics, engineering, and computing. If you’re passionate about extracting signals from complex environments and enabling new quantum sensing capabilities, we’d love to hear from you.
