Digital Signal Processing (DSP) Engineer

Austin Sensing Company; Austin (TX); Sur place; USD 120 000 - 190 000; Plein temps

Avantages offerts par ce poste

401(k)

Insurance benefits

Lunch and dinner served daily

Résumé du poste

Austin Sensing Company designs and manufactures radar, acoustic, and RF sensors for defense, public safety, and infrastructure in Austin, Texas. We seek a Digital Signal Processing Engineer to develop algorithms for extracting information from sensor data and to implement them for real-time operation on our hardware.

You will collaborate with RF, acoustic, FPGA, embedded systems, and software engineers to improve detection, estimation, and classification performance, balancing algorithm goals

Qualifications

• 7+ years of experience developing and implementing digital signal processing algorithms.
• Strong understanding of sampling theory, digital filtering, Fourier analysis, probability, and statistical estimation.
• Proficiency in Python or MATLAB for simulation and data analysis.
• Experience implementing performance-sensitive signal processing code in C or C++.
• Experience evaluating algorithms against measured data and diagnosing differences between simulation and real-world performance.

Responsabilités

• Develop algorithms for filtering, spectral analysis, detection, parameter estimation, and signal classification.
• Design processing pipelines for radar, acoustic, and RF data, accounting for sensor characteristics and operating conditions.
• Build simulations and analysis tools to evaluate algorithms under noise, interference, and other sources of distortion.
• Analyze recorded sensor data to identify performance limitations and guide improvements.
• Implement and optimize algorithms for real-time operation within compute, memory, power, and latency constraints.
• Work with FPGA and embedded systems engineers to move algorithms onto production hardware.
• Evaluate sampling rates, numerical precision, fixed-point representations, and their effects on performance.
• Develop calibration and compensation methods for hardware variations and measurement errors.
• Define measurable performance criteria and build repeatable tests to compare algorithm revisions.
• Work with field test engineers to plan data collection and validate performance outside the lab.
• Document algorithm assumptions, implementation details, and results so the team can maintain and extend your work.

Connaissances

DSP algorithms

Python

C/C++

Signal processing theory

Fixed-point arithmetic

Numerical precision

Documentation

Formation

Bachelor's degree in EE/CS

Outils

Python

MATLAB

C/C++

FPGA

Embedded systems

Description du poste

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.

OUR INVESTORS

OPEN ROLES

Digital Signal Processing (DSP) 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 Digital Signal Processing Engineer to develop the algorithms that extract useful information from our radar, acoustic, and RF sensor data. You’ll design processing methods, evaluate them against recorded measurements, and implement them for real-time operation on our hardware.

You’ll work closely with RF, acoustic, FPGA, embedded systems, and software engineers to improve detection, estimation, and classification performance. We’re looking for someone who understands the mathematics, can write efficient code, and can use real data to identify why an algorithm succeeds or fails.

What You’ll Do

Develop algorithms for filtering, spectral analysis, detection, parameter estimation, and signal classification.

Design processing pipelines for radar, acoustic, and RF data, accounting for sensor characteristics and operating conditions.

Build simulations and analysis tools to evaluate algorithms under noise, interference, and other sources of distortion.

Analyze recorded sensor data to identify performance limitations and guide improvements.

Implement and optimize algorithms for real-time operation within compute, memory, power, and latency constraints.

Work with FPGA and embedded systems engineers to move algorithms onto production hardware.

Evaluate sampling rates, numerical precision, fixed-point representations, and their effects on performance.

Develop calibration and compensation methods for hardware variations and measurement errors.

Define measurable performance criteria and build repeatable tests to compare algorithm revisions.

Work with field test engineers to plan data collection and validate performance outside the lab.

Document algorithm assumptions, implementation details, and results so the team can maintain and extend your work.

What You’ll Bring

7+ years of experience developing and implementing digital signal processing algorithms.

Strong understanding of sampling theory, digital filtering, Fourier analysis, probability, and statistical estimation.

Proficiency in Python or MATLAB for simulation and data analysis.

Experience implementing performance-sensitive signal processing code in C or C++.

Experience evaluating algorithms against measured data and diagnosing differences between simulation and real-world performance.

An understanding of numerical precision, quantization, and fixed-point versus floating-point implementation.

The ability to balance algorithm performance with hardware and real-time processing constraints.

Clear technical communication and experience working across hardware and software teams.

Preferred Experience

Experience with radar, acoustic arrays, RF receivers, or wireless communications.

Familiarity with beamforming, array processing, adaptive filtering, or time-frequency analysis.

Experience with detection theory, signal classification, or source localization.

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

Familiarity with SIMD optimization and profiling tools.

Experience with synchronized sensors and multi-channel data processing.

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

401(k)

Insurance benefits

Lunch and dinner served daily