Airborne Systems Tech Lead: AI, Software & Avionics

Universal Avionics

Tucson, Northern (AZ, KY)

Hybrid

USD 110,000 - 170,000

Full time

9 days ago

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Job summary

Universal Avionics in Tucson, AZ is seeking a Technical Manager – AI, Software & Systems Engineering to lead the integration of systems engineering, software, AI, computer vision and image processing into a reliable airborne product. You will own the end-to-end technical direction from requirements through delivery in a matrix organization.

The role emphasizes technical judgment, collaboration with senior leadership, and the ability to balance architecture decisions with program milestones, cost

Qualifications

  • Bachelors degree in Engineering, Computer Science, Electrical Engineering, or a related technical field.
  • Advanced degree preferred; knowledge of FAA certification processes or standards (DO-178, DO-254, ARP4754) beneficial but not required.

Responsibilities

  • Own end-to-end technical direction and integration of a complex airborne product.
  • Connect requirements, architecture, development, verification, and system integration into a cohesive technical approach.
  • Lead multidisciplinary teams across systems engineering, software, AI, image processing, and verification.
  • Guide architecture decisions and technical trade-offs while maintaining consistency across the product.
  • Identify technical risks, dependencies, and integration challenges early and drive them toward resolution.
  • Lead technical reviews to ensure alignment on architecture, interfaces, and product objectives.

Job description

Universal Avionics in Tucson, AZ is seeking a Technical Manager – AI, Software & Systems Engineering to lead the integration of systems engineering, software, AI, computer vision and image processing into a reliable airborne product. You will own the end-to-end technical direction from requirements through delivery in a matrix organization.

The role emphasizes technical judgment, collaboration with senior leadership, and the ability to balance architecture decisions with program milestones, cost

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