As a Senior Engineer, you will be dedicated to Shield AI's next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You'll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stackrom autonomy to avionicsefore it ever flies. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities:

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements:

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.
• Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.
• Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

Preferred Qualifications:

• Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.

Salary: $158,000 - $215,000 a year

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Responsibilities:

• 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.

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As a Senior Software Engineer, C++ Software Integration, you will design, implement, and maintain C++ and Python software in support of complex, cross-platform systems. You will contribute to system architecture with a focus on performance, maintainability, and integration. You will develop and support APIs and messaging interfaces, integrate third-party software and hardware systems, including real-time and simulation tools. You will debug and support distributed systems, with attention to threading, timing, and data flow. You will apply modern agile practices such as test-driven development, continuous integration, and automated testing. You will improve and maintain CI/CD workflows using tools like GitLab CI, Docker, CMake, and Conan. You will collaborate across teams and projects to share solutions and promote good software practices. You will continuously learn and adapt to new tools, standards, and technologies.

This position is ideal for a C++ generalist who thrives on tackling complex challenges in systems and systems integration. If you enjoy building cross-language software, improving CI/CD pipelines, and integrating distributed real-time systems, you'll find this role rewarding.

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Responsibilities:

• 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.

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In this role, you will guide multidisciplinary engineering teams in designing, implementing, and integrating high-performance real-time and faster than real-time simulation frameworks across distributed, containerized, and hardware-in-the-loop environments. Your work will directly support key customer programs, internal R&D, and mission-critical autonomy development,ensuring our simulation ecosystem is robust, scalable, and operationally representative.

Responsibilities:

• Simulation Architecture Leadership – Lead the design and evolution of distributed, real-time simulation systems that support autonomy development, verification, and validation across virtual, constructive, and live environments.

• High-Performance Software Development – Architect and implement C++, software for modelling, simulation, and integration workflows, while maintaining compatibility with legacy standards for seamless system interoperability.

• Real-Time & Distributed Simulation – Develop, optimize, and deploy software for real-time mission execution environments, including multi-agent scenarios and high-fidelity system-of-systems simulations.

• Simulation Framework Integration – Apply practical experience with defence simulation frameworks such as AFSIM or NGTS to accelerate capability delivery and ensure alignment with defence customer expectations.

• Containerized Deployment – Leverage Docker, Kubernetes or similar technologies to ensure repeatable, scalable, and modular simulation deployments across development, CI, and operational environments.

• Technical & Project Leadership – Lead engineering teams of 5+ contributors, ensuring alignment across software, test, autonomy, perception, and program stakeholders. Drive quality, delivery, and technical excellence.

• Collaboration & Delivery – Work closely with cross-functional teams to integrate simulation with autonomy algorithms, hardware interfaces, and test pipelines, enabling rapid experimentation, regression testing, and mission readiness.

• Innovation & Continuous Improvement – Champion best practices in CI/CD, test-driven development, design patterns, and system architecture. Explore and adopt modern technologies to expand modelling and simulation capabilities.

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Responsibilities:

• 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.

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