Staff Loads Engineer (Dallas) at Shield AI

Dallas, Texas, 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

Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, or related field
8+ years experience performing loads and aeroelastic analysis for aircraft (manned or unmanned)
Proficiency with loads modeling tools such as FEMAP, NASTRAN, MATLAB, or other relevant simulation environments
Strong understanding of aircraft flight envelopes, control surface effects, and structural load paths
Demonstrated experience supporting both design and test phases with accurate load predictions
Excellent documentation, cross-functional collaboration, and communication skills

Responsibilities

Own the development of aerodynamic and structural load envelopes for the full vehicle, from clean-sheet through flight test
Lead maneuver, gust, landing, and ground loads analyses, including both quasi-static and dynamic cases
Coordinate closely with GNC, aero, and structural teams to define load cases tied to mission profiles and flight control behaviors
Develop and validate loads models using tools like NASTRAN, FEMAP, MATLAB, or custom Python/Simulink scripts
Support the sizing and analysis of critical structural components through detailed load maps and V-n diagrams
Conduct aeroelastic stability assessments, including divergence and control reversal checks
Lead traceability of loads inputs/outputs across ICDs, FEA models, and design justification documents
Interface with test engineering to support strain gauge placement, instrumentation plans, and correlation of in-flight data
Author and present loads documentation for reviews, compliance, and technical buy-in
Support the long-term refinement of loads methodologies and automation across the aerostructures team

Skills

Key technologies and capabilities for this role

NASTRANFEMAPMATLABPythonSimulinkAeroelastic AnalysisStructural LoadsAerodynamic LoadsManeuver LoadsGust LoadsGNC

Questions & Answers

Common questions about this position

What is the salary for the Staff Loads Engineer position?

This information is not specified in the job description.

Is this a remote position or does it require being in the office?

This information is not specified in the job description.

What are the required qualifications for this role?

Candidates need a Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, or related field, 8+ years experience performing loads and aeroelastic analysis for aircraft, proficiency with loads modeling tools such as FEMAP, NASTRAN, MATLAB, and a strong understanding of aircraft flight envelopes, control surface effects, and structural load paths.

What kind of team will I be working with in this role?

This is a highly cross-functional role where you'll collaborate closely with structural design, aero, GNC, and test engineering teams.

What experience makes a strong candidate for this Staff Loads Engineer position?

A strong candidate will have 8+ years of experience in loads and aeroelastic analysis for aircraft, proficiency in tools like FEMAP, NASTRAN, and MATLAB, and the ability to lead loads development from clean-sheet design through flight test while collaborating across teams.

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

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.

Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.

Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.

Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.

Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.

Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.

Significant investment in robotics indicates a robust market for Shield AI's offerings.

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