Software Engineer

As a Software Engineer at Espy, you will join a lean, agile team buildingstate-of-the-artsystems that deliver critical signals intelligence to government agencies. You will collaborate cross-functionally to design, enhance, andmaintaina high-performance Linux C++ software architecturefor a product thatcaptures high-bandwidth RF signal data and streams it to long-term digital storage. Additionally, you will implement innovative DSP and visualization algorithms,leveragecutting-edgecomputing hardware, and integrate machine learning to help customers navigate complex signal environments. Core Responsibilities: Architecture & Development: Design, build, and test high-performance C++ software within a Linux environment across general-purpose and embedded platforms. Hardware Integration: Partner closely with hardware engineers to integrate software with physical components, ensuring strict alignment with system requirements. Automation & Scripting: Implement, evaluate, and test automation scripts and tools using Python. Feature Prioritization: Coordinate with the engineering team, field support, and customers to map out and prioritize new features and critical bug fixes. Global Deployment: Provide hands-on testing and deployment support to ensure mission success for our global customer base. Technical Ownership: Overcome technical obstacles independently using sound judgment, cross-functional collaboration, and technical leadership. Required Qualifications: Education: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field. Experience: 10+ years of professional experience designing and implementing software systems using C++ in a Linux environment. Networking & Scripting: Proficiencywith high-performance TCP/UDP network communications, alongside strong scripting skills in Bash and Python. Signal Processing: Working knowledge of applied digital signal processing (DSP), including filtering, data transforms, multi-dimensional signal processing, and data visualization. Core Competencies: Exceptional problem-solving skills, strong verbal/written communication across all organizational levels, and a proventrack recordof managing tasks under tight schedules. Preferred Qualifications: Hardware & Data: Experience with signal acquisition hardware (SDRs, digitizers, VITA-49) and high-accuracy timing services (GPS, NTP). Advanced Tech: Familiarity with Machine Learning, Computer Vision, CUDA, or embedded architectures (ARM, FPGA). Infrastructure & Tools: Experience with Docker/containerization, databases (MongoDB), modern web stacks (TypeScript, Node.js, React), and management tools (Git, Jira). Logistics& Clearance: Willingness to travel 2-3 times per year and eligibility for a TS/SCI security clearance.

WORK ENVIRONMENT:

Characteristics described here are representative of those an incumbent willencounterwhile performing the essential functions of this job.Reasonableaccommodationmay be made to enable individual with disabilities to perform the essential functions. Work environment involves everyday risks or discomforts requiring safety precautions typical of officework Work area is adequatelylit,heatedand ventilated. Dover Corporation