Senior Structural Analysis Engineer, Tools & Methods

As a Senior Structural Analysis Engineer at Relativity Space, you will be tasked with maturing our structures analysis processes and automating workflows. This includes selecting and implementing both custom and commercial tools, developing intuitive interfaces for calculations, and collaborating closely with dynamics and other engineering disciplines. You'll also integrate various analysis tools into larger frameworks and create visuals for mapping data outputs.

To qualify for the Senior Structural Analysis Engineer role at Relativity Space, candidates must have an undergraduate degree in engineering or a related field. You’ll need a minimum of 5 years of experience in numerical analysis and tool development, particularly in areas like FEA and CFD. Proficiency in Python and experience with version control systems are also essential for this position.

At Relativity Space, a Senior Structural Analysis Engineer will work on a range of projects, including the analysis of our Terran R rocket's structures and methods for enhancing payload capacities. You'll engage in developing tools for load combinations and interdisciplinary mapping, alongside creating robust data pipelines that support various engineering analyses.

As a Senior Structural Analysis Engineer at Relativity Space, your contributions will directly impact our innovative aerospace initiatives, including improving the reliability and efficiency of our rockets. By developing advanced analysis tools and methodologies, you help us accelerate the design and development cycles essential for meeting our ambitious goal of launching payloads efficiently and reliably.

The culture at Relativity Space for a Senior Structural Analysis Engineer is collaborative and innovative. You will be part of a passionate team dedicated to reshaping the aerospace industry and advancing additive manufacturing. The environment encourages creativity and supports personal professional growth while fostering transparency and diversity.

In answering this question, provide specific examples where you've utilized FEA to solve complex engineering problems. Highlight your methodology, the tools you've used, and the outcomes achieved through proper analysis.

Discuss your strategy for evaluating, testing, and implementing new tools. Emphasize the importance of collaboration and communication with team members to ensure a smooth integration process that enhances productivity.

An effective approach to troubleshooting involves systematic investigation. Share a methodical process you follow, including reviewing past analyses, checking data inputs, and consulting with team members when necessary to resolve discrepancies.

Emphasize your attention to detail and verification processes. Discuss the importance of cross-checking results with empirical data and collaborating with other engineering disciplines to confirm findings.

Talk about emerging trends, such as the use of machine learning in predictive analytics, the rise of cloud-based simulation tools, and the increasing emphasis on real-time data integration for quicker decision-making processes.

Illustrate your negotiation skills by providing a concrete example, including how you assessed project priorities, communicated effectively with stakeholders, and ultimately ensured that the project met its goals without compromising quality.

Discuss specific instances where your coding skills in Python or other languages directly improved analysis processes, automated workflows, or enhanced the tools you’ve developed for solving engineering challenges.

Be honest about your perceptions while providing insights into how you approach these challenges. It might include addressing the complexities involved in analyzing multiple interconnected systems and ensuring each contributes effectively to overall design.

Provide a specific example where data visualization tools helped convey complex analysis results to stakeholders and how this visual representation facilitated understanding and decision-making.

Explain your commitment to ongoing learning by mentioning resources like industry publications, conferences, and professional organizations that you follow to stay informed of the latest innovations and best practices in aerospace structural analysis.