LEAD ANALYST - LEAD ENGINEER - PRINCIPAL ENGINEER - Systems Engineer/Data Science Engineer

Key Skills

Algorithms, AWS, Azure, JavaScript, Machine learning techniques, PowerBI, UI design, UX design

Job Description

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, ground systems, and cutting edge third generation AI/ML for DoD platforms.

Objectives of this Role:

• Develop System and LRU Architectures; this includes Data Science/Analytics techniques to design data pipelines that utilizes second/third generation AI/ML.
• Work collaboratively across a multi-disciplinary engineering teams to establish 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 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 Bachelor of Science in Electrical Engineering, Data Engineering, Data Science, Data Analytics or related with directly related experience
• Shown experience in complex electronic avionics systems.
• Shown experience with System Safety Analysis, FMEA, Hardware architectures, avionic I/O , latency analysis, and MBSE.
• 8 years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications including data pipelines and tiered Data Science applications
• Experience developing Architectures and basic/Intermediate experience with MBSE
• 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)
• A valid/clear driver's license is required