Vehicle Simulation Engineer I
@ Relativity Space

Long Beach, California, United States
On Site
Posted 3 days ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX****** @relativityspace.com
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Job Details

About the Role

At Relativity Space, you will carry out analysis for engineering design trades, drive design decisions based on results, and implement, maintain, and improve software tooling in various languages. You will also maintain and lead cross-functional collaboration with key teams across Vehicle Engineering.

About the Team

The Integrated Performance team owns the holistic view of how Terran R comes together. The team ensures every system on the vehicle and ground meets ambitious objectives from trajectory design to post-flight data review. Team members work hands-on with hardware and operations, driving interdisciplinary mission and vehicle design decisions.

Key Responsibilities

  • Perform engineering design trade analysis.
  • Implement and improve simulation and analysis software tooling.
  • Collaborate with cross-functional Vehicle Engineering teams.
  • Support integration of design data for customer missions.
  • Lead interdisciplinary design trade analyses.

About You

You have an undergraduate or graduate degree in Engineering, Computer Science, Physics, or a related field. You are skilled in high-level programming languages like Python, Julia, or MATLAB, have strong numerical analysis skills, and thrive in multi-disciplinary teams.

Additional Information

Relativity Space offers competitive salary and equity, generous PTO, learning stipends, and more in a transparent compensation environment.

Key skills/competency

Vehicle Simulation Engineer, simulation, trajectory, analysis, design, optimization, software tooling, Python, multi-disciplinary, integration

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How to Get Hired at Relativity Space

🎯 Tips for Getting Hired

  • Research Relativity Space's culture: Study their mission, values, and recent news.
  • Tailor your resume: Highlight simulation and engineering projects.
  • Practice technical problems: Focus on simulation, design, and analysis.
  • Prepare for behavioral interviews: Emphasize teamwork and problem solving.

📝 Interview Preparation Advice

Technical Preparation

Review simulation algorithms.
Practice numerical optimization problems.
Brush up on Python, Julia, MATLAB coding.
Study ODE integration techniques.

Behavioral Questions

Describe teamwork in multi-disciplinary projects.
Explain decision-making under technical pressure.
Discuss problem solving using first principles.
Share experiences of cross-functional collaboration.

Frequently Asked Questions