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Senior Engineer, Software Systems (R4903)

United States
Full Time On-site

Summary

Job Description

We are seeking a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions.

What you'll do:

  • Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives
  • Develop system architectures and perform trade studies to balance performance, cost, and risk
  • Coordinate and manage interfaces across hardware, software, and external systems
  • Support system integration, verification, and validation activities, including test planning and execution
  • Identify technical risks and develop mitigation strategies throughout the system lifecycle

Required qualifications:

  • A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s Degree; or 2 years with a PhD; or equivalent work experience
  • B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering)
  • Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
  • Experience with MBSE and related efforts
  • Experience working in cross-functional teams
  • Excellent communication skills, both written and verbally
  • Organized and methodical
  • Software engineer experience in C++ and/or Python
  • Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearance

Preferred qualifications:

  • Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
  • Expertise with Requirement & Design decomposition
  • Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

About Shield AI

Shield AI

Shield AI is a defense technology company building autonomous AI systems for aircraft, drones, and intelligent mission software used in complex military environments. Founded in 2015, the company is best known for developing Hivemind, an AI pilot system that enables aircraft and drones to operate autonomously in contested and GPS-denied environments, supporting U.S. and allied defense missions.

For job seekers, Shield AI offers opportunities across advanced fields including artificial intelligence, robotics, software engineering, autonomy systems, aerospace engineering, embedded systems, and mission operations. The company is especially attractive to engineers, AI researchers, and defense professionals who want to work on real-world autonomous systems that are actively being deployed in operational military scenarios.

Unlike traditional defense contractors, Shield AI operates with a startup-style engineering culture focused on rapid experimentation, real-world testing, and fast deployment of autonomous capabilities. Employees work on tightly integrated AI and robotics systems that combine perception, decision-making, and control, enabling platforms to operate without direct human input in highly complex environments.

As modern warfare increasingly shifts toward autonomous systems, distributed sensing, and AI-enabled decision-making, Shield AI continues to grow as one of the most prominent companies in next-generation defense technology. For professionals seeking to build cutting-edge autonomy systems with direct mission impact, Shield AI stands out as a leading employer in the defense innovation ecosystem.

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