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

• 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.

Basic Qualifications

• 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.

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.
• Experience operating in high-stakes engineering environments where correctness is critical.

Additional Requirements

• Ability to work extended hours and weekends as necessary.

Equal Opportunity Employer

General Matter is an Equal Opportunity Employer; employment with General Matter is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Compensation and Benefits

The base salary range for this role is $100,000–$200,000 annually. 

Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. Please note that the stated salary range is an estimate and may be adjusted based on market conditions, business needs, or other factors. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.