Why This Role Stands Out
You'll thrive in this hybrid role by leveraging your strong technical fundamentals and curiosity to develop cutting-edge emulation tools for critical national security technologies, with a competitive salary of $110,000-$151,000. This is an excellent opportunity for a mid-senior engineer passionate about cyber-physical systems and eager to expand their skills within a collaborative team environment. Apply today to contribute to impactful projects and grow your career in a dynamic field.
Quick Overview
Job Description
STR is hiring an Embedded Systems Emulation Engineer to join our multidisciplinary team of researchers and engineers developing cutting-edge technologies with significant and immediate impact on our national security. In this role, you will work at the intersection of computer systems and real-world physical systems, building the tools and models that emulate complex cyber-physical platforms to enable analysis, reverse engineering, and experimentation.
We believe every employee brings a unique set of skills, experiences, and perspectives that are essential to providing innovative solutions for our customers. You do not need to have experience with every technology listed to be successful in this role. Strong fundamentals, curiosity, and the ability to learn new tools and domains are highly valued. 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
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