Digital Signal Processing (DSP) Engineer

Austin Sensing Company•Austin, TX

About The Position

Austin Sensing Company builds radar, acoustic, and RF sensors for defense, public safety, critical infrastructure, and autonomous systems. It designs and manufactures its hardware in Austin, Texas, focusing on making high-performance sensing reliable, affordable, and widely available. The Digital Signal Processing Engineer develops algorithms that extract useful information from radar, acoustic, and RF sensor data. The role designs processing methods, evaluates them against recorded measurements, and implements them for real-time operation on company hardware. The engineer collaborates with RF, acoustic, FPGA, embedded systems, and software engineers to improve detection, estimation, and classification performance, using mathematical understanding, efficient code, and real-world data to assess algorithm performance.

Requirements

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.
Understanding of numerical precision, quantization, and fixed-point versus floating-point implementation.
Ability to balance algorithm performance with hardware and real-time processing constraints.
Clear technical communication and experience working across hardware and software teams.

Nice To Haves

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.

Responsibilities

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 the work.