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Relativity Space · 4 days ago

Multidisciplinary Design Analysis and Optimization Engineer I

Long Beach, CA

Full-time

Onsite

New Grad, Entry Level

$119K/yr - $151K/yr

Relativity Space is building rockets to meet the growing demand for launch capacity and advance science and exploration. The Multidisciplinary Design Analysis and Optimization Engineer I will be responsible for driving interdisciplinary design decisions, conducting analysis for engineering design trades, and collaborating with key teams to optimize mission trajectories.

3D TechnologyAerospaceArtificial Intelligence (AI)Manufacturing

Responsibilities

Closely work with key design teams to integrate their latest design data into a full simulation of the customer missions

Develop and leverage software tooling for optimizing the launch and orbital trajectory of each of the key customer missions

Lead interdisciplinary design trade analyses to inform key decisions about the vehicle, the mission trajectories, or the mission ConOps

Define and maintain high-level vehicle and trajectory design requirements to inform the overall design process

Carrying out analysis for engineering design trades and driving design decisions based on the results

Implementing, maintaining, and improving software tooling in a variety of languages, ranging from core simulation capabilities to peripheral analysis utilities

Maintaining, establishing, and sometimes leading cross-functional collaboration with key teams across Vehicle Engineering

Qualification

Engineering degreeProgramming languagesTrajectory designSoftware development practicesCross-functional collaborationCommunication skillsProblem-solvingTeam collaboration

Required

An undergraduate or graduate degree (BS/MS/PhD) in Engineering, Computer Science, Physics, or a related field

Prior experience doing heavy cross-functional collaboration in a fast-paced environment

Notable modern programming language coding experience (e.g. Python, Julia, Rust, C++)

Demonstrated experience in taking complex analysis results and clearly communicating conclusions and recommendations to facilitate rapid decision-making

Familiarity with architectural design and analysis of launch vehicle or space systems

Familiarity with trajectory design and optimization

Preferred

Experience working with advanced software development practices such as Docker, Continuous Integration/Continuous Deployment (CI/CD), and dependency management

Prior work in a startup or agile development environment