Senior Staff Engineer Systems
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will capture system requirements and support the design and development of architectures spanning perception, autonomy, and mission-level workflows. You will maintain system models, collaborate with technical stakeholders, improve systems engineering processes, and report technical status, risks, and expectations to leadership.
Requirements
- 7+ years of systems engineering or related experience with a Bachelor's degree, 5 years with a Master's degree, or 2 years with a PhD.
- Bachelor's degree in a STEM field.
- Experience with systems engineering practices, including writing, structuring, and verifying requirements.
- Experience with MBSE and system-modeling workflows.
- Experience working on cross-functional technical teams.
- Written and verbal communication skills.
- Ability to interpret engineering drawings, assembly diagrams, parts lists, wiring diagrams, and schematics.
- Eligibility to obtain an Australian NV1 Secret clearance.
- Ability to access and handle ITAR-controlled and Australian export-controlled technical data.
Responsibilities
- Capture end-to-end system requirements for Hivemind Vision Systems and integrated autonomy solutions.
- Support the design and development of system architectures spanning perception, autonomy, and mission-level workflows.
- Use MBSE tools to document, maintain, and extend architecture models.
- Develop and maintain models using UML, SysML, and UPDM.
- Create SysML models for system decomposition, functional flows, interfaces, and behavior.
- Collaborate with subject-matter experts to improve tooling, automation, and model-to-codebase connections.
- Support the evolution and execution of systems engineering processes.
- Engage with product management, program management, engineering, and business development teams.
- Report status, risks, accomplishments, and expectations to leadership.