TX) (R3524) at Shield AI

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, AerospaceIndustries

Requirements

BS in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or related field (MS preferred)
5+ years of experience in LO technology development, preferable on tactical aircraft programs
Proficiency with electromagnetic modeling and LO analysis tools
Hands-on experience with LO testing techniques and RCS range instrumentation
Understanding of survivability trade-offs in flight systems and operational mission environments
Excellent written and verbal communication skills
U.S. Citizenship and active Secret clearance (TS/SCI preferred)
Preferred Qualifications
Experience on developmental stealth programs
Working knowledge of signature management for multispectral domains (e.g., IR, visual, acoustic)

Responsibilities

Design and optimize low observable features for airframe and subsystem integration, including shaping, edge treatments, coatings, and radar-absorbing materials
Conduct modeling and simulation of electromagnetic signature performance using industry standard tools (e.g., HFSS, CST, SENTRi, Xpatch)
Develop and execute test plans for LO validation including RCS measurements at indoor and outdoor ranges
Collaborate with materials scientists and structures teams to mature LO coatings and composites for production readiness
Support internal and customer survivability assessments, including integrated threat modeling vulnerability reduction strategies
Participate in design reviews, technical interchange meetings (TIMs), and system verification events
Ensure design compliance with customer requirements and support milestone decision throughout the acquisition lifecycle

Skills

Key technologies and capabilities for this role

HFSSCSTSENTRiXpatchRCS reductionelectromagnetic signature controlradar-absorbing materialsLO coatingscompositesthreat modelingsurvivability assessment

Questions & Answers

Common questions about this position

What salary is offered for this Lead/Staff Engineer position?

This information is not specified in the job description.

Is this position remote or does it require working from a specific location?

This information is not specified in the job description.

What are the required qualifications and skills for this role?

Candidates need a BS in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or related field (MS preferred), 5+ years of experience in LO technology development preferably on tactical aircraft programs, proficiency with electromagnetic modeling and LO analysis tools, hands-on experience with LO testing techniques and RCS range instrumentation, understanding of survivability trade-offs, excellent communication skills, U.S. Citizenship, and active Secret clearance (TS/SCI preferred).

What does the company culture or work environment look like at Shield AI?

This information is not specified in the job description.

What makes a strong candidate for this Survivability Engineer role?

A strong candidate has experience on developmental stealth programs and working knowledge of signature management for multispectral environments, in addition to the required qualifications.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees