Radar DSP Engineer at DAS Technology Group | Austin, TX, US | Rezi

Radar DSP Engineer at DAS Technology Group

Radar DSP Engineer

DAS Technology Group · Austin, TX, US

1 weeks ago

Radar DSP Engineer

DAS Technology Group · Austin, TX, US

11 days ago
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About the Role

Our client is hiring a Radar DSP Engineer to build the signal processing behind their software-defined radar systems. These radars combine modern DSP and machine learning to detect, classify, and track drones in difficult real-world environments. The role involves working directly with raw radar data, developing detection and tracking algorithms, and implementing them on deployed hardware, including software development, lab work, outdoor testing, and iteration based on measured results.

Responsibilities

  • Build real-time radar processing pipelines for drone detection and tracking
  • Implement range, Doppler, velocity, and angle-estimation algorithms
  • Develop adaptive detection methods, including CFAR
  • Reduce clutter, interference, noise, and false alarms
  • Develop beamforming, direction-finding, and array-calibration techniques
  • Use radar signatures and micro-Doppler data for target classification
  • Train and evaluate machine-learning models for classification and false-alarm reduction
  • Build multi-target tracking, association, and trajectory-estimation algorithms
  • Fuse radar tracks with passive RF, acoustic, Remote ID, and ADS-B detections
  • Optimize processing for embedded CPUs, GPUs, or FPGAs
  • Build tools for collecting, visualizing, labeling, and analyzing radar data
  • Plan and run field tests to measure detection range, accuracy, and reliability
  • Work with RF, hardware, embedded, and software engineers to improve system performance
  • Debug problems found during field testing and deployment
  • Move new algorithms from prototype code into production
  • Work with noisy and incomplete real-world data
  • Move between algorithm development, production code, lab testing, and field work
  • Diagnose problems across hardware and software
  • Make decisions based on measured system performance
  • Work quickly while maintaining sound engineering practices
  • Take responsibility for a technical problem through deployment

Requirements

  • Strong fundamentals in digital signal processing and radar systems
  • Experience working with raw radar or complex I/Q data
  • Understanding of FFTs, digital filtering, spectral analysis, detection, and estimation
  • Experience developing radar detection or tracking algorithms
  • Strong C++ skills
  • Experience with Python or MATLAB for analysis and prototyping
  • Experience building or optimizing real-time signal-processing software
  • Ability to evaluate performance using recorded and live sensor data
  • Hands-on experience testing and debugging complete systems

Skills

  • Kalman filtering
  • JPDA
  • MHT
  • Multi-target tracking methods
  • Micro-Doppler analysis
  • Radar-based target classification
  • Machine learning applied to radar
  • Machine learning applied to time-series data
  • Machine learning applied to other sensor data
  • Sensor fusion
  • Track correlation across multiple detection sources
  • GPU acceleration
  • CUDA
  • SIMD
  • FPGA-based signal processing
  • Embedded Linux development
  • Radar simulation
  • Hardware-in-the-loop testing
  • Outdoor systems operating in cluttered or changing environments
  • Radar platforms
  • Antenna arrays
  • RF front ends
  • High-speed data acquisition
  • Real-time detection pipelines
  • Beamforming pipelines
  • Classification pipelines
  • Tracking pipelines
  • Sensor-fusion pipelines
  • C++
  • Python
  • MATLAB
  • Linux
  • Embedded compute platforms
  • Distributed sensing
  • Telemetry
  • Airspace-monitoring infrastructure
  • FMCW radar
  • Pulse-Doppler radar
  • MIMO radar
  • Phased-array radar
  • UAV radar systems
  • Counter-UAS radar systems
  • CFAR
  • Beamforming
  • Angle-of-arrival estimation
  • Pulse compression
  • Clutter rejection

Experience Level

  • Bachelor's degree in electrical engineering, computer engineering, applied physics, or a related field - or equivalent practical experience

Education Level

  • Master's degree or Ph.D. in a relevant technical field

Benefits

  • Health, Dental, and Vision: 100% of employee premiums and 80% of dependent premiums covered
  • Compensation: Competitive salary with performance-based bonuses
  • Equity: Stock options offering ownership in what you're building
  • Retirement: 401(k) plan
  • Insurance: Life, short-term disability, and long-term disability coverage
  • Perks: Free daily lunch and dinner, with snacks and drinks stocked in the office