Chief Engineer - Launch & Recovery Vehicle (R4033) at Shield AI

Dallas, Texas, United States

Shield AI Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Defense, Aerospace, Autonomous SystemsIndustries

Requirements

  • Bachelor’s degree in Engineering, Physics, or related field (Mechanical/Aerospace ideal)
  • 10+ years leading multidisciplinary engineering teams delivering complex electro-mechanical or automation systems
  • Proven record of owning system performance from requirements through test and field validation
  • Strong systems engineering discipline — requirements traceability, margins, and verification planning
  • Skilled in risk-based decision-making and tradeoffs across performance, cost, and schedule
  • Broad technical fluency across mechanical, electrical, software, and controls domains
  • Experience managing product lifecycle: design, build, integration, and test
  • Comfortable leading technical reviews (PDR, CDR, TRR, FRR) and closing actions to standard
  • Effective at cross-functional coordination with manufacturing, test, and operations
  • Clear communicator — able to translate technical reality to executive and customer audiences

Responsibilities

  • Own the technical direction and ensure the product architecture fulfills mission needs and system constraints
  • Translate user and stakeholder requirements into verifiable system capabilities with defined margins and measures
  • Lead cross-discipline integration, ensuring mechanical, electrical, software, and test teams deliver a coherent design
  • Drive risk reduction and test strategy—plan, prioritize, and execute early demos and stress-to-failure tests
  • Maintain the functional baseline and verify that each subsystem meets its allocated performance and interface requirements
  • Guide trade studies balancing performance, cost, schedule, manufacturability, and reliability
  • Ensure analytical models are correlated to test data, closing the loop between simulation and experiment
  • Control the technical baseline and configuration, approving major design and requirement changes
  • Chair or support technical reviews (PDR, CDR, TRR) and enforce closure of open actions
  • Own the risk register, quantify technical and programmatic risk, and ensure mitigation plans are executable and tracked
  • Serve as the single point of technical accountability to leadership and customers
  • Define and maintain verification and validation (V&V) plans that trace requirements to tests and results
  • Communicate technical status using transparent, quantitative metrics on performance, maturity, and uncertainty
  • Integrate product development with manufacturing and sustainment to ensure designs are buildable and supportable
  • Foster a disciplined, data-driven engineering culture that values early learning, iteration, and truth-seeking

Skills

Systems Engineering
Mechanical Design
Electrical Systems
Software Integration
Test Planning
Risk Management
Trade Studies
Simulation Modeling
Requirements Verification
Cross-Functional Leadership

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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