Multidisciplinary Systems Simulation Engineer II

Relativity

Long Beach (CA)

On-site

USD 126,000 - 172,500

Full time

14 days+

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Benefits offered by this job

Competitive Salary
Equity
Generous PTO
Annual Learning and Development Stipend

Job summary

Relativity in Long Beach, California, seeks a Multidisciplinary Analysis & Simulation Engineer II to drive innovative rocket technologies. You will collaborate with design teams, develop software tools for trajectory optimization, and lead impactful interdisciplinary analyses.

Candidates should possess a degree in Engineering or related fields, with at least 1 year of experience in complex systems. Strong programming skills in Python or similar languages are essential.

Competitive salary, equity, generous PTO, and learning stipends are included in the compensation package.

Qualifications

  • 1+ years of relevant full‑time work experience with demonstrated ability to solve complex problems from first principles.
  • Direct experience on rocketry, space systems, or equally complex hardware systems.
  • Ability to complete projects with end‑to‑end ownership and a high degree of independence.

Responsibilities

  • Closely collaborate with key design teams to integrate the latest design data into full simulations of customer missions.
  • Develop and leverage software tooling to optimize launch and orbital trajectories.
  • Define and maintain high‑level vehicle and trajectory design requirements.

Skills

Problem Solving
High-level Programming (Python, Julia, MATLAB)
Launch Vehicle Trajectory Design

Education

Undergraduate or graduate degree in Engineering, Computer Science, Physics

Tools

Software Tooling
Docker
CI/CD Practices

Job description

Relativity in Long Beach, California, seeks a Multidisciplinary Analysis & Simulation Engineer II to drive innovative rocket technologies. You will collaborate with design teams, develop software tools for trajectory optimization, and lead impactful interdisciplinary analyses.

Candidates should possess a degree in Engineering or related fields, with at least 1 year of experience in complex systems. Strong programming skills in Python or similar languages are essential.

Competitive salary, equity, generous PTO, and learning stipends are included in the compensation package.

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