Signal Processing Engineer

1 month ago


Boston, United States Cypress HCM Full time

Sr. Digital Processing Engineer

Location: Boston, MA (5 days onsite)

Employees: 50|Team Size: 3

Industry: HealthCare/Medical Device


Seeking a hands-on Engineer requiring experience in signal processing and real-time implementation on embedded platforms. This person will excel in Digital Signal Processing when applied to complex spatial computing, image processing, and visualization to help design, develop, and implement signal processing algorithms for radar-based health platforms.


Most Important Responsibilities:

  • Algorithm Development: Design, develop, and optimize DSP algorithms for embedded hardware using high-level and assembly languages, ensuring real-time performance.
  • Data Analysis: Analyze and interpret signal data to enhance detection, tracking, and classification capabilities.
  • Hardware Optimization: Work closely with hardware engineers to fine-tune algorithms for specific hardware architectures and support system integration.
  • Performance Evaluation: Conduct simulations and performance assessments to validate algorithm effectiveness and pinpoint areas of improvement.
  • Visualization: Create high quality data visualizations that effectively showcase results and advancements.
  • Integration & Testing: Execute system-level integration and testing of signal processing components.
  • Cross-Functional Collaboration: Clearly convey technical concepts and progress to both team and other departments. Work closely with systems engineers, hardware engineers, and software developers to integrate DSP components seamlessly into systems.


What you can bring to the table to impact this role, team, and organization:

  • 8+ years of relevant experience in Data Science.
  • Bachelor’s or master’s degree in mathematics, Electrical Engineering, Computer Science, or related field, or equivalent work experience.
  • Deep knowledge of signal processing techniques such as filtering modulation, demodulation, spectral analysis, and Fourier transforming.
  • Experience with radar tracking methods like alpha-beta filters, Kalman filters, or multi-hypothesis trackers.
  • Proficiency in implementing signal processing algorithms using Python, MATLAB, or C/C++.
  • Data Science tools experience like NumPy/Sckit-learn and cloud services such as GCP.
  • Experience with real-time signal processing on DSP platforms or embedded systems, including DSP processors, FPGAs, and RF.
  • Familiarity and practice with RF engineering principles.
  • Radar Signal processing expertise as well as object detection including algorithms like CFAR and SVD.
  • Experience in designing and optimizing advanced DSP algorithms, especially for radar signal processing and background subtraction.
  • Data Processing experience analyzing and preprocessing radar data to improve signal quality and feature extraction.


Nice-to-Have/Bonus Skills

  • Machine Learning: experience in applying machine learning techniques to radar signal processing tasks.
  • Image Processing: Experience with radar-to-image projections, image segmentation, video object detection, or target detection.
  • Data Augmentation: Knowledge of implementing and optimizing data augmentation techniques to enhance model performance.


Featured Benefits: Medical, Vision, Dental, 401(k)


Compensation: 185 – 250K + Bonus/Stock potential



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