392 Computer Systems Security Analyst jobs in Grand Prairie, TX
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Ground System Software Engineer (R4787)
Shield AI
Ground System Software Engineer (R4787)
This job is still taking applications, but it's been up a while.
About the job
Shield AI is a deep-tech company that designs intelligent systems like aircraft and mission tools to support worldwide operations, protecting service members and civilians.
Requirements
- Proficiency in C++, Python, or JavaScript
- Experience building distributed systems
- Designed ground control station software
- Developed user interfaces (Qt, React)
- Debugging and system integration skills
Qualifications
- Bachelor's in CS, Software Engineering, Robotics
- 5+ years experience or Master's 4+ years or PhD 2+ years
- Ability to obtain security clearance
- Fast-paced, cross-functional work experience
Full job description
Job Description:
We are seeking a highly motivated Ground System Software Engineer to design, develop, and maintain software systems for the X-BAT Platform. This role focuses on building robust ground control stations, mission planning tools, communication interfaces, and infrastructure that enable the X-BAT mission, and supports operational requirements safe and efficient drone operations.
You'll work at the intersection of all major components of the X-BAT Platform and its systems, providing user-facing applications to operate X-BAT and supporting equipment or vehicles, and will be collaborating closely with our Aircraft Software, Hivemind, and Flight Test teams to design this state-of-the-art ground system.
What you'll do
- Design, develop, and optimize next-gen ground control software that enables low-latency communication with UAVs and other autonomous platforms.
- Build high-performance full-stack applications that support telemetry processing and fusion, mission planning, and real-time situational awareness.
- Implement responsive user interfaces with React and TypeScript for telemetry readout and sensor feeds, operator workflows, and mission/vehicle state.
- Collaborate closely with teams across autonomy, embedded systems, human factors, and UX to deliver integrated, field-ready solutions.
- Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.
- Lead and/or participate in development efforts on key features or subsystems, from early design through deployment and iteration.
- Write high-quality, well-tested code and participate in peer design/code reviews.
Required qualifications:
- Senior: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 5+ years of professional software development experience, or Masters with 4+ years, or PhD with 2+ years.
- Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 7+ years of professional software development experience, or Masters with 6+ years, or PhD with 4+ years.
- Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.
- Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.
- Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.
- Proven ability to deliver high-quality software as part of a collaborative engineering team.
- Experience building distributed systems or networked applications
- Experience developing user interfaces (e.g., React, Vue, QT, or similar frameworks)
- Strong debugging, problem solving, and system integration skills
- Speed and proficiency without the use of Generative AI tools (due to the nature of our work, these are prohibited)
- Ability to work in a fast-paced, cross-functional engineering environment
- Ability to obtain security clearance
- Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
- Experience with GCS software, mission planning tools, or real-time visualization platforms.
- Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.
- Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.
- Experience with UAS platforms and AI/ML systems.
- Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.
- Exposure to distributed systems and cloud integration for telemetry data pipelines and sensor fusion.
- Understanding of security best practices in control systems and networked applications.
- Exposure to cybersecurity best practices for embedded or distributed systems, preferably within Gov and/or Defense environments
Duey AI may make mistakes. Please double-check key information.