Embedded Systems Emulation Engineer

What you will do

• Work as part of a small, focused team to architect, develop, implement, and test modular software applications and tools for emulating cyber-physical systems.
• Extend and customize existing emulation frameworks (e.g., QEMU) in C/C++ and Python to support new targets, peripherals, and capabilities.
• Rehost unknown or sparsely documented firmware by analyzing binaries, identifying hardware dependencies, and adapting these to run correctly in emulated environments.
• Develop emulator tooling and virtual device models to support reverse engineering and analysis of embedded systems across diverse architectures (e.g., ARM, PPC).
• Develop digital models using virtualization tools (e.g., QEMU) and network them together to create integrated, end-to-end system simulations that closely approximate real hardware behavior.
• Ensure model quality and correctness through unit-level and system-level testing, and by validating behavior against first principles, measured data, documentation, and hardware/software artifacts.
• Communicate technical foundations of models and algorithms through reports and briefings

Who you are

• This position requires an Active Secret security clearance with eligibility for Top Secret (TS) clearance, for which U.S. citizenship is needed by U.S. Government.
• Proficiency in C/C++ for systems-level or embedded software development
• Proficiency in Python for tool development, automation, and integration
• Familiarity with emulation and virtualization tools (e.g., QEMU or similar frameworks)
• Strong understanding of computer architecture, emulation principles, and software engineering best practices (e.g., modular design, testing, code review)
• Experience using collaborative source code management (e.g., Git)

Education

• BS in Computer Engineering, Computers Science, Electrical Engineering or related field

Nice to have

• Active Top Secret (TS) Security Clearance
• Familiarity with network architecture and protocols, and experience integrating networked simulations
• Experience with low-level software modifications (e.g., implants, firmware changes, binary patch development)
• Experience at the software/hardware interface, including device drivers or real-time/embedded operating systems
• Experience with reverse engineering and firmware rehosting for embedded systems, including analysis of instruction set architectures (e.g., ARM, PPC) and use of tools such as Ghidra, IDA Pro, or Binary Ninja
• Experience implementing component models (e.g., sensors, actuators, dynamics, environmental factors) in Python and/or C/C++, and integrate them into system-level simulations and software processing chains
• Experience working with hardware components and interfaces
• Masters or PhD in related field

Pay Information

Full-Time Salary Range: $110,000 - $151,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.