Who We Are:

Join Our Team! The Tactical Aerospace Department is a premier supplier for aerospace quality technology insertion on new and legacy DoD systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms.

Objectives of this Role:

• Responsible to develop System level and LRU Architectures. This includes Data Science/Analytics techniques to design data pipelines. May include second/third generation AI/ML data pipelines.
• Work collaboratively across a multi-disciplinary engineering teams to develop hardware, firmware, and AI/ML requirements for complex flight worthy avionics hardware.
• Interact directly with clients to establish system requirements and architectures to meet client expectations.
• Provide technical project leadership throughout each program.
• Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures.
• Support department management in specific marketing activities, proposal development of embedded avionics programs, and in the development of product/technical roadmaps.

Daily and Monthly Responsibilities:

• Perform as a System Engineer over embedded avionics/aerospace programs.
• Lead a multi-disciplinary team to develop, integrate, and test complex avionics. This includes electrical, mechanical, firmware, data pipelines, data science, and AI/ML.
• Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures.
• Lead trade analyses within and across the relevant domains.
• Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test

Requirements:

• Requires a Bachelors degree in Electrical Engineering, Data Engineering, Data Science, Data Analytics or related with related experience.
• 8+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications including data pipelines and tiered Data Science applications.
• Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, Integration, Testing, Bid and Proposal efforts, CONOPS, Certification, System Safety, FMEA, Lab activities, etc).
• Experience developing Architectures and basic/Intermediate experience with MBSE.
• A valid/clear driver's license is required.