> Markdown version of [/jobs/ext/4649863-software-engineer](https://www.wearedevelopers.com/jobs/ext/4649863-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Dover Corporation - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Systems Engineering, Computer Vision, JIRA, Automation of Tests, Bash Shell, Software Bug Management, C++ (Programming Language), Signals Intelligence, Nvidia CUDA, Computer Networks, Databases, Computer Engineering, Data Visualization, Linux, Field-Programmable Gate Array (FPGA), Global Positioning Systems (GPS), Hardware Design, Python (Programming Language), Machine Learning, MongoDB, Node.Js, Signal Processing, Software Engineering, Software Requirements Analysis, TypeScript, Scripting, ReactJS, Git, Containerization, Information Technology, Docker - **Published:** November 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-austin-tx--a00df4bf-7401-4b6c-b073-dbaa8e0bcd93 ## About the Role Software Engineering, Microwaves, Electrical Components, Manufacturing, Electronic Engineering, Military, Aerospace and Defense, Product Engineering, Systems Engineering, Software Engineering, * 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: Proficiency with 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 proven track record of managing tasks under tight schedules., * 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. ## Description As a Software Engineer at Espy, you will join a lean, agile team building state-of-the-art systems that deliver critical signals intelligence to government agencies. You will collaborate cross-functionally to design, enhance, and maintain a high-performance Linux C++ software architecture for a product that captures high-bandwidth RF signal data and streams it to long-term digital storage. Additionally, you will implement innovative DSP and visualization algorithms, leverage cutting-edge computing 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.