What You'll Do:
- Architect and implement high-performance C++ and Python systems across cross-platform environments.
- Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software.
- Define and enforce technical direction, design patterns, and integration practices across projects.
- Guide teams in building robust messaging and API layers (e.g., gRPC, REST, ZeroMQ) that bridge critical system components.
- Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake.
- Lead debugging and optimization of real-time and multi-threaded systems across a range of domains.
- Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems.
- Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements.
- Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency.
Required Qualifications:
- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
- Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases.
- Proficiency in Linux/Unix environments, including system-level development and debugging tools.
- Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces.
- Significant experience with CI/CD systems, containerization (e.g., Docker), and build tooling (e.g., CMake, Conan).
- Proficiency in Python and familiarity with other scripting and automation tools.
- Deep knowledge of Linux environments (Windows experience is a bonus).
- Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship.
- Strong understanding of networking concepts and communication protocols.
- Active SECRET clearance.
Preferred Qualifications:
- Real-time or distributed simulation experience (e.g., AFSIM, NGTS, or similar).
- Familiarity with message-passing infrastructure and web-service technologies like gRPC, REST APIs, and message queues.
- Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems.
- Experience integrating simulation with autonomy frameworks or real-time operators.
- Experience developing and integrating with modeling or analysis pipelines.
- Ability to obtain a TS/SCI clearance.
Skills Required
- Minimum 7 years related experience (or equivalent per degree combinations)
- Advanced experience designing and maintaining large C++ systems (C++14/17/20) and familiarity with legacy C++98/03
- Proficiency in Linux/Unix environments including system-level development and debugging tools
- Strong systems integration background with distributed systems, real-time processing, and hardware/software interfaces
- Significant experience with CI/CD systems, containerization (Docker), and build tooling (CMake, Conan, GitLab CI)
- Proficiency in Python and familiarity with scripting/automation tools
- Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship
- Strong understanding of networking concepts and communication protocols
- Active SECRET clearance
- Deep knowledge of Linux environments (Windows experience is a bonus)
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
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Retirement Support — Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
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Career-Linked Recognition & Rewards — Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.
Shield AI Insights
What We Do
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
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Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.