Lead Modeling & Simulation Engineer — Space Platform & Analytics

sedarotech; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Unlimited PTO

401(k) with 4% match

100% premium payment for Medical Insur

Parental Leave

Flexible work schedule with core hours

Company provided lunches 3 days a week

Industry-leading career development

Job summary

Sedaro is hiring a Lead Modeling & Simulation Engineer to build high-fidelity simulation software powering our aerospace platform. This hands-on role owns projects end-to-end from concept to validation against real-world data.

You will develop scalable tools for complex systems, validate models, and run large-scale studies using cloud compute for uncertainty quantification and optimization, collaborating across disciplines.

Qualifications

• 3+ years of applicable engineering experience.
• Bachelor's degree in physics, applied math, engineering, or similar.
• Proficiency writing software to model complex physical systems.
• Experience with git, automated testing, and software development practices.
• Experience validating simulation models against real-world data.

Responsibilities

• Own technical projects and drive development.
• Develop high-fidelity simulation software and analysis tools for diverse complex systems and validate against real-world data.
• Configure and execute large-scale multi-simulation studies using cloud compute for uncertainty quantification and optimization.
• Perform code reviews and provide technical feedback to other engineering teams.
• Support contract meetings with technical input and demonstrations to external stakeholders.

Skills

Software development

Data analysis

Visualization

Git

Automated testing

Cloud computing

Education

Bachelor's degree (physics, applied math, engineering, or similar)

Tools

Git

Automated testing

Cloud compute

Job description

Sedaro is hiring a Lead Modeling & Simulation Engineer to build high-fidelity simulation software powering our aerospace platform. This hands-on role owns projects end-to-end from concept to validation against real-world data.

You will develop scalable tools for complex systems, validate models, and run large-scale studies using cloud compute for uncertainty quantification and optimization, collaborating across disciplines.