Senior Software Engineer II - Simulation Engineering
Rocket Lab · Littleton, CO
About this role
## Senior Software Engineer II — Simulation Engineering **ABOUT ROCKET LAB** Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, and expanding humanity’s reach to the Moon, Mars, and beyond. **SPACE SYSTEMS** The Space Systems team builds complete spacecraft, precision payloads, and the components and subsystems that help them thrive in space (e.g., solar panels, flight software, star trackers, optical systems, separation systems, radios, and more). The team has enabled more than 1,700 missions across interplanetary exploration, in-space manufacturing, and national security/defense initiatives. --- ### Role Overview Rocket Lab is seeking a **Senior Software Engineer II — Simulation Engineering** (based out of **Littleton, CO**) to architect large-scale simulation environments and drive high-level data analysis to solve complex aerospace challenges. You’ll work with cross-functional teams to design distributed simulation campaigns, extract actionable insights from massive datasets, and support mission decision-making. ### What You’ll Get to Do - Architect and deploy **large-scale, distributed simulation environments** for complex aerospace systems (including multi-vehicle and constellation-level modeling) - Build robust **data pipelines** to process, analyze, and visualize massive simulation datasets - Derive **actionable engineering and mission-level insights** using advanced statistical analysis and data modeling - Optimize simulation infrastructure for **HPC** and distributed cluster environments to ensure scalability - Collaborate with domain experts to define campaign-level requirements and translate mission objectives into scalable simulation architectures - Lead integration of complex simulation ecosystems, ensuring synchronization across multiple subsystems and analytical tools ### You’ll Bring These Qualifications - Bachelor’s degree in **Computer Science, Engineering, Applied Mathematics, Physics, or related field** - **8+ years** of industry experience in large-scale simulation engineering, data analysis, or distributed computational modeling - Proficiency in heavy data analysis / simulation infrastructure languages (e.g., **Python, C++, or similar**) - Demonstrated experience architecting and analyzing **large-scale Monte Carlo campaigns** - Experience processing and analyzing large datasets using modern data analytics libraries/frameworks - Experience modeling complex, multi-component physical systems (e.g., spacecraft constellations, multi-vehicle architectures, robotics) - **U.S. citizenship required** (program requirements) ### These Qualifications Would Be Nice to Have - Active **Secret** or **Top Secret** clearance, or ability to obtain/maintain one - Familiarity with **HPC, parallel processing, and distributed compute clusters** (e.g., Docker Swarm, Kubernetes) - Experience with multi-vehicle or synchronized distributed simulation environments - Advanced understanding of statistical analysis, data visualization, and optimization algorithms - Experience with **machine learning/AI** applied to large dataset analysis or simulation generation - Familiarity with cloud-based simulation platforms or large-scale data lakes - Proven ability to tackle complex architectural challenges and deliver innovative data solutions ### Pay (CO Only) **Base Pay Range:** **$130,000 — $170,000 USD** Final compensation is based on individual qualifi
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