Senior C++ Software Engineer

Job Summary & Responsibilities

Transformational Security, LLC is seeking a Senior C++ Software Engineer to join our software team. You will contribute across multiple product codebases supporting in-place monitoring, electronic-security, and related mission systems. This is an individual-contributor engineering role: you will take technical direction from our architect and apply strong fundamentals to deliver correct, robust, high-performance code across new development and legacy maintenance.

U.S. citizenship required. Ability to obtain and maintain a Top Secret security clearance.

Transformational Security, LLC develops advanced RF and digital technology for Electronic Warfare, SIGINT, counterintelligence, and secure communications from 1 kHz through 50 GHz and beyond. Our solutions range from large-scale integrated systems to deployable man-pack platforms.

We build In-Place Monitoring Systems (IPMS) — persistent, site-installed sensor and analysis platforms that monitor RF environments, detect threats, and support operator workflows — as well as travel-security, LPI/LPD detection, frequency management, and multi-mission collection products.

You will work across several products and subsystems. Typical C++ assignments include:

• Server-side services and distributed networking
• Device integration and data pipelines
• Signal-processing components
• C++ GUI maintenance and enhancement (existing graphical applications)
• Integration with Python and React front ends on products that use separate UI layers
• Assignments depend on project priorities. Some codebases embed UI directly in C++; others pair a C++ backend with a web or scripting layer.

You will work on performance-critical systems: multithreaded services, concurrent data paths, and cross-component integration. The team uses frontier AI models as a routine part of the development workflow.

• Design, implement, and maintain high-performance C++ applications and libraries across assigned products.
• Develop new features and maintain legacy code in existing codebases.
• Apply strong correctness, robustness, and performance discipline under technical direction from the project architect.
• Work with multithreading, concurrent programming, and object lifecycle management in production systems.
• Build and operate within our CI/CD pipeline:
  Git, Git Lab, Docker, Linux, scripting, and Make-based builds.
• Participate in code reviews as a contributor; incorporate feedback and raise quality through collaboration.
• Use AI-assisted development tools effectively — including frontier LLMs, agentic coding workflows, and MCP-integrated tooling — as a routine part of delivering and reviewing software.
• Collaborate with cross-functional engineers (Python, React, infrastructure) on integration points and API contracts.
• Debug complex issues across distributed components and legacy subsystems.

• Deep understanding of C and C++ fundamentals — language semantics, memory model, and runtime behavior — not merely familiarity with the standard library.
• Solid grounding in computing principles: algorithms, data structures, and systems thinking.
• Multithreading and concurrent programming experience, including safe object lifecycle management.
• Proven ability to analyze, navigate, and extend complex codebases — including legacy code.
• Strong problem-solving and debugging skills on Linux server environments.
• Proficiency with Git and willingness to adopt team workflows.
• Hands-on experience with CI/CD tooling:
  Git Lab, Docker, Linux shell scripting, and build automation (Make; CMake familiarity is a plus).
• Automated testing experience;
  Google Test (gtest) for C++.
• Strong communication and collaboration skills.
• U.S. citizenship and ability to obtain a Top Secret security clearance.

• Experience working with frontier AI models in a software engineering context, such as:
• AI coding collaboration — LLM-assisted IDEs and assistants (Cursor, Git Hub Copilot, Claude, GPT-class models) for design, implementation, testing, and refactoring
• MCP (Model Context Protocol) usage — connecting assistants to repositories, databases, APIs, and…