Autonomy for the world. Backed by a16z.
About the role
As a Mass Properties Engineer for Ranger, you will play a critical role in the development and optimization of autonomous aircraft systems, ensuring precise mass properties tracking and analysis throughout the product lifecycle. Your expertise will support aircraft performance trade studies, loads development, structural analysis, cost analysis, and mission effectiveness evaluations. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- B.S. in Aerospace Engineering, Mechanical Engineering, Material Science/Engineering, or related field
- 3+ years of experience in mass properties analysis within aerospace, defense, or high-tech vehicle development
- Proficiency in CAD software (SolidWorks, Siemens NX, or similar)
- Familiarity with mass properties industry standards (ATA100, SAWE RP A-7, RP 7, RP 8, or predecessors)
- Experience defining mass properties requirements and ensuring compliance across design iterations
- Experience developing and maintaining a Mass Properties Management and Control Plan
More about this role
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .
As a Mass Properties Engineer for Ranger, you will play a critical role in the development and optimization of autonomous aircraft systems, ensuring precise mass properties tracking and analysis throughout the product lifecycle. Your expertise will support aircraft performance trade studies, loads development, structural analysis, cost analysis, and mission effectiveness evaluations. This role is essential in driving the success of Shield AI’s next-gen autonomous vehicles, ensuring they meet stringent weight, balance, and efficiency requirements.
- Lead and participate in system-level trade studies to optimize payload, propulsion, power distribution, thermal...
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