Embedded DSP Engineer

Integratedcooling; Wichita (KS); Remote; USD 80,000 - 120,000; Full time

Job summary

A leading technology company is seeking an embedded software developer focused on RF signal processing to improve UAV detection capabilities. This role involves developing and optimizing algorithms for real-time implementation on edge devices, requiring proficiency in modern programming languages and signal processing. Candidates must have a background in electrical or computer engineering and relevant experience in DSP and embedded systems. The position is mostly remote, with occasional travel and in-person meetings.

Qualifications

• 3+ years experience in DSP or embedded software development.
• Familiarity with Linux-based embedded systems.
• Experience deploying containerized models to edge compute platforms is a plus.

Responsibilities

• Implement real-time RF signal processing algorithms for UAV emissions detection.
• Develop embedded DSP code and ML model integration for edge devices.
• Support system integration and testing of the embedded detection stack.

Skills

C/C++

Python

DSP

RF signals

Education

B.S. in Electrical Engineering

B.S. in Computer Engineering

Tools

GNU Radio

SoapySDR

Job description

Candidates should live within driving distance of the following areas: Wichita, KS; Lawton, OK; or Round Rock, TX.

Job Purpose/Summary

Lead the implementation of embedded signal processing pipelines for real-time UAV RF detection and classification. This role will focus on developing, deploying, and optimizing containerized DSP and ML models on edge devices. It is central to the mission of enabling intelligent, low-latency threat detection in contested RF environments.

Duties and Responsibilities

• Implement real-time RF signal processing algorithms for detection and classification of UAVemissions.
• Develop embedded DSP code and ML model integration for edge devices using SoC/CPU/GPU platforms.
• Collaborate with AI/ML teams to containerize detection models and optimize inference at the edge.
• Tune signal processing pipelines for multi-band detection (433 MHz – 5.8 GHz).
• Optimize code for performance under constrained memory, power, and compute.
• Support system-level integration and testing of the embedded detection stack.

Qualifications

Minimum

• B.S. in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
• 3+ years experience in DSP or embedded software development
• Proficiency in C/C++, Python, and tools like GNU Radio, SoapySDR, or SDR frameworks
• Experience working with RF signals, SDRs, or time/frequency-domain processing
• Familiarity with Linux-based embedded systems

Desired

• Experience deploying containerized models to edge compute platforms (Jetson, Raspberry Pi, etc.)
• Familiarity with UAV/UAS signaling is a plus
• Familiarity with anomaly detection or signal classification ML methods
• Experience with OTA update mechanisms and field reliability
• Security clearance or ability to obtain one

Working conditions

• Candidates should live within driving distance of the following areas: Wichita, KS; Lawton, OK; or Round Rock, TX.
• This position is remote with occasional in-person meetings as needed.
• This position may occasionally require travel (less than 10% time).

Physical requirements

No special physical requirements.

Direct reports

None