Simulation Software Engineer
General Matter enriches uranium, designing, building, and operating the world’s lowest-cost enrichment services in the US. We are restoring America’s ability to produce nuclear fuel to power AI, advanced manufacturing, and critical industries. Our mission is to make nuclear energy the cleanest, safest, and most affordable source of baseload power, catalyzing a nuclear Renaissance and enabling a post-scarcity society. Backed by top venture capital firms and incubated inside Founders Fund, we are a lean, world-class team of engineers and operators with a culture of urgency, accountability, and transparency.
About the role
We are seeking a Simulation Software Engineer to design and build high-fidelity simulators for critical physics and hardware system modeling. You will collaborate with hardware, chemical, and electrical engineering teams to accelerate testing and simulation capabilities, ensuring results accurately reflect physical behavior. This role plays a central part in defining 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 and validate simulation outputs against test and real-world data in partnership with systems and hardware teams.
Requirements
- BS in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, or related field (advanced degree preferred).
- 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.
- Experience validating simulations against empirical data or hardware-in-the-loop setups.
- High standards for correctness, robustness, and engineering rigor.
- Ability to work extended hours and weekends as necessary.
Preferred Skills
- 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.
- Experience operating in high-stakes engineering environments where correctness is critical.
Pay
The base salary range for this role is $100,000–$200,000 annually. Compensation bands are determined by role, level, location, and market data. Individual pay is based on job-related skills, education, experience, technical capabilities, and internal equity. Eligible full-time hires may also receive long-term incentives in the form of stock options.
Benefits
- Medical, vision, and dental coverage.
- Access to a 401(k) retirement plan.