Senior Avionics Engineer (Aerospace)

Location: On-site at WPAFB, Ohio, United States

Company

hirify.global delivers AI, cloud, cybersecurity, and modernization solutions for federal agencies, including national security, health, and humanitarian missions.

What you will do

• Support modernization, integration, testing, production, fielding, and sustainment of B-2 aircraft and related systems.
• Integrate avionics systems including tactical data links, position location, display systems, digital interphone systems, and identification capabilities.
• Define, analyze, manage, and verify aircraft information management, platform software, CNS/ATM, interoperability, and system requirements.
• Support security authorization, spectrum management, airworthiness certification, system safety, OSS&E compliance, and Air Force integrity programs.
• Participate in hardware-in-the-loop, subsystem integration laboratory, development, qualification, ground, and flight testing.
• Prepare and review engineering analyses, system documentation, technical evaluations, acquisition artifacts, briefings, and milestone review materials.

Requirements

• Active Top-Secret security clearance required.
• ABET-accredited engineering degree required, such as electrical, mechanical, or aerospace engineering; engineering technology degrees do not qualify.
• Master’s or doctorate with 10 years of relevant experience, including 5 years in the DoD; or bachelor’s degree with 12 years of relevant experience, including 5 years in the DoD.
• Degree must have been awarded in the year of or after the original accreditation date of the ABET program.
• Experience with avionics engineering, systems engineering, requirements analysis, integration, verification, testing, and certification.
• Knowledge of DoD, Air Force, airworthiness, interoperability, cybersecurity, system safety, and OSS&E processes.

Culture & Benefits

• Mission-focused work supporting national security and public well-being.
• Environment centered on innovation, trust, collaboration, and professional growth.
• Opportunities to learn from technical leaders and mentor others in AI best practices.
• Medical, dental, and vision coverage.
• 401(k), IRA, life insurance, paid time off, family leave, disability coverage, and training and development.