Software Engineer, Systems Simulation & Test

About the Company

General Matter enriches uranium.

We are designing, building, and operating the world’s lowest-cost enrichment services, here in the US.

In the process, we are restoring America’s ability to produce nuclear fuel to power AI, advanced manufacturing and critical industries our country relies on to remain competitive.

Fuel drives the cost of advanced reactor electricity production, and enrichment drives the cost of the fuel that advanced reactors consume. Reliable, low-cost enrichment is the catalyst for the nuclear Renaissance now under way.

Our mission is to make nuclear not only the cleanest and safest source of baseload power, but also the most affordable. We believe abundant nuclear energy will lead to a post-scarcity society.

We were incubated inside Founders Fund, like Anduril and Palantir before us, and are backed by over a dozen of the world's top venture capital firms.

Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production.

We are a mission-driven company with a culture of urgency, accountability, and transparency.

Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable.

Simulation Software Engineer

We are seeking a Simulation Software Engineer to design and build the high-fidelity simulators that model our physical systems, hardware, and control behavior. This role sits at the intersection of physical systems modeling and high-performance software engineering, and is responsible for building simulators that accurately reflect real-world behavior and accelerate testing, validation, and control system development in partnership with hardware, chemical, and electrical engineering teams.

The successful candidate will play a central role in defining the architecture, implementation standards, and operational reliability of mission-critical simulation systems.

Responsibilities

• Architect and own simulators for large, distributed systems with complex interactions, feedback loops, and failure modes.
• Model system dynamics and control behavior across nominal and off-nominal operating conditions.
• Build scalable infrastructure for high-volume simulation, scenario generation, and automated validation.
• Define correctness criteria andvalidatesimulation outputs against test and real-world data in partnership with systems and hardware teams.
• Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testbeds that exercise control and system software against simulated plant behavior.

Basic Qualifications

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, or a related field.
• 7+ years of experience building simulators for complex, real-world systems.
• Strong programming skills in C++ and/or Python with experience handling large data flows.
• Deep understanding of modeling distributed systems, control systems, or physical processes.
• Experiencevalidatingsimulations against empirical data or hardware-in-the-loop setups.
• High standards for correctness, robustness, and engineering rigor.

Preferred Skills and Experience

• Experience simulating industrial, aerospace, energy, or similarly complex systems (e.g., chemical plants, rockets, power grids).
• Background in control theory, numerical methods, or systems modeling.
• Experience running large-scale simulations for design validation or fault analysis.
• Familiarity with performance optimization and parallel or distributed simulation.
• Familiarity with automated test frameworks and continuous integration for simulation and test workflows.
• Hands-on experience with HIL/SIL testbeds, including working knowledge of the underlying physical systems, instrumentation, and hardware…