Radar Signal Processing Engineer

US Health Partners, LLC; Austin (TX); Vor Ort; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

401(k)

Insurance benefits

Lunch and dinner served daily

Zusammenfassung

Austin Sensing Company is hiring a Radar Signal Processing Engineer to develop algorithms that turn radar measurements into reliable detections and tracks. You’ll work across waveform design, detection, estimation, and tracking, taking algorithms from simulation through implementation and field testing.

You’ll work closely with RF, firmware, and software engineers to understand hardware limitations, improve radar performance, and ensure algorithms run within real compute and latency constraints.

Qualifikationen

• 7+ years of experience developing radar signal processing algorithms.
• Strong knowledge of digital signal processing and radar fundamentals.
• Experience with FFT-based processing, CFAR detection, beamforming.
• Proficiency in Python or MATLAB for simulation and analysis.
• Experience implementing performance-sensitive algorithms in C++ or similar.
• Ability to diagnose whether a performance issue comes from an algorithm, the hardware, or the test setup.
• Experience balancing detection performance with compute, memory, and latency constraints.
• Clear technical communication across hardware and software teams.

Aufgaben

• Develop and implement algorithms for range, Doppler, and angle estimation, detection, and target tracking.
• Evaluate waveforms and processing approaches against requirements for range, resolution, coverage, and update rate.
• Build simulations to evaluate performance across target characteristics, clutter, interference, and noise.
• Develop beamforming, calibration, clutter suppression, and adaptive detection methods.
• Analyze recorded radar data to identify missed detections, false alarms, estimation errors, and tracking failures.
• Implement and optimize algorithms for real-time operation, working with firmware and software engineers on deployment.
• Design bench and field tests that measure detection probability, false alarm rates, estimation accuracy, and track continuity.
• Work with RF engineers to understand how antenna performance, channel mismatch, timing, and other hardware effects influence processing.
• Build repeatable tools for data analysis, algorithm evaluation, and regression testing.
• Document algorithm assumptions, performance results, and tradeoffs so the team can make informed design decisions.

Kenntnisse

Radar DSP

DSP fundamentals

FFT processing

Beamforming

Array processing

Python

C++

Ausbildung

Electrical Engineering

Tools

Python

MATLAB/Simulink

Embedded processors

GPUs/FPGA

Jobbeschreibung

About Austin Sensing Company

Austin Sensing Company builds radar, acoustic, and RF sensors for defense, public safety, critical infrastructure, and autonomous systems. We design and manufacture our hardware in Austin, Texas, with a focus on making high-performance sensing reliable, affordable, and widely available.

About the Role

We’re hiring a Radar Signal Processing Engineer to develop the algorithms that turn radar measurements into reliable detections and tracks. You’ll work across waveform design, detection, estimation, and tracking, taking algorithms from simulation through implementation and field testing.

You’ll work closely with RF, firmware, and software engineers to understand hardware limitations, improve radar performance, and make algorithms run within real compute and latency constraints. We’re looking for someone who can explain the theory, implement it, and use measured data to determine where it holds up.

What You’ll Do

• Develop and implement algorithms for range, Doppler, and angle estimation, detection, and target tracking.

• Evaluate waveforms and processing approaches against requirements for range, resolution, coverage, and update rate.

• Build simulations to evaluate performance across target characteristics, clutter, interference, and noise.

• Develop beamforming, calibration, clutter suppression, and adaptive detection methods.

• Analyze recorded radar data to identify missed detections, false alarms, estimation errors, and tracking failures.

• Implement and optimize algorithms for real-time operation, working with firmware and software engineers on deployment.

• Design bench and field tests that measure detection probability, false alarm rates, estimation accuracy, and track continuity.

• Work with RF engineers to understand how antenna performance, channel mismatch, timing, and other hardware effects influence processing.

• Build repeatable tools for data analysis, algorithm evaluation, and regression testing.

• Document algorithm assumptions, performance results, and tradeoffs so the team can make informed design decisions.

What You’ll Bring

• 7+ years of experience developing radar signal processing algorithms and evaluating them against measured data.

• Strong understanding of digital signal processing, radar fundamentals, probability, and statistical estimation.

• Experience with FFT-based processing, filtering, CFAR detection, beamforming, and array processing.

• Proficiency in Python or MATLAB for simulation and analysis.

• Experience implementing performance-sensitive algorithms in C++ or a comparable language.

• The ability to diagnose whether a performance issue comes from an algorithm, the hardware, or the test setup.

• Experience balancing detection performance with compute, memory, and latency constraints.

• Clear technical communication and comfort working across hardware and software teams.

Preferred Experience

• Experience with FMCW radar and MIMO antenna architectures.

• Experience detecting and tracking small drones or other targets with low radar cross sections.

• Familiarity with micro-Doppler analysis and target classification.

• Experience with Kalman filtering, data association, and multi-target tracking.

• Experience implementing algorithms on embedded processors, GPUs, or FPGAs.

• Experience with outdoor radar testing and challenging clutter environments.

• A degree in electrical engineering, applied mathematics, physics, computer science, or a related field.

Benefits

• 401(k)

• Insurance benefits

• Lunch and dinner served daily