You'll design, build, and scale the models and infrastructure needed to use Shield's simulation platform for qualified software validation efforts. 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.
• Implement scenario simulation tooling and formal test infrastructure.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Perform verification & validation (V&V) analysis activities on model tools.
• 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.
• Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.

Preferences

• Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.
• Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

$125,000 - $200,000 a year

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Key responsibilities include:

• Providing technical focus and leadership on a particular R&D topic, such as gate calibration, qubit relaxation and/or dephasing, piloting new research ideas in small processors, integration of new ideas into large processors, or implementation of quantum error correction.

• Collaborating across diverse teams of expert engineers to turn experimental concepts into robust technologies that work at large QPU scales.

• Staying current with cutting-edge research, synthesizing results from the literature, and implementing state-of-the-art calibration, error diagnostic, and system optimization techniques to enhance device performance.

Required qualifications include:

• PhD in Physics or similar applied scientific field, or Masters' in Physics with 2+ years relevant industry experience.

• Demonstrated abilities in experimental problem solving and experimental research.

• Expertise in the practical implementation of coherent quantum effects and control.

• Proficiency using Python in a scientific context.

• Ability to thrive in a strongly collaborative environment, with a team-first mindset.

Nice to have qualifications include:

• Experience calibrating and characterizing single- and two-qubit quantum gates in superconducting quantum devices.

• Experience utilizing quantum simulation frameworks, such as QuTip.

• Proven capability to execute and effectively communicate outcomes from innovative research and development initiatives.

• Software development experience in a collaborative industry setting.

• Previous technical role in an industrial or startup setting.

Additional information:

• As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers.

• Applications from women, minorities, and other under-represented groups are encouraged.

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