Radar Signal Processing Engineer

Austin Sensing Company; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k)

Insurance benefits

Lunch and dinner served daily

Job summary

Austin Sensing Company is seeking a Radar Signal Processing Engineer in Austin, TX to develop algorithms turning radar measurements into reliable detections and tracks. You will work across waveform design, detection, estimation, and tracking, taking algorithms from simulation through implementation and field testing.

You will collaborate with RF, firmware, and software engineers to understand hardware limits, improve radar performance, and ensure algorithms run within real compute and latency

Qualifications

• 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.

Responsibilities

• 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.

Skills

Radar signal processing

DSP fundamentals

FFT processing

CFAR detection

Beamforming

Array processing

Python

MATLAB

C++

Embedded computing

Education

Electrical engineering degree

Job description

Building the future of sensing is extremely hard work. We move fast, tackle difficult technical problems, and expect a lot from one another. We look for self-starters who take ownership and deliver. If you are looking for a traditional 9-to-5, this is not the place for you.

But if you want to build advanced sensing systems in Austin, strengthen U.S. military capabilities, protect American warfighters, support public safety and aerial firefighting, and work alongside operators in the field, we want to hear from you.

Why Austin Sensing Co.

We design and manufacture vertically integrated sensing systems for defense, public safety, and critical infrastructure. Our products are deployed in demanding environments where failure is not an option. Built in America and headquartered in Austin, Texas.

Radar Signal Processing Engineer

Location

Austin, TX

On-site

Software

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.

401(k)

Insurance benefits

Lunch and dinner served daily

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