Engineer II, Full Stack Software - Autonomy Tooling & Visualization (R4125) at Shield AI

San Diego, California, United States

Shield AI Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Defense, Aerospace, Autonomy, Deep TechIndustries

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
  • 3 or more years of professional software development experience, including end-to-end delivery of production systems
  • Proficient in C++ and Python and able to contribute to production-level codebases
  • Experience with Git, CI/CD tools (e.g., GitLab CI or Azure DevOps), and containerization with Docker
  • Ability to independently design, implement, test, and deploy software solutions with minimal supervision

Responsibilities

  • Design and develop full stack tools that simplify workflows, improve data visualization, and elevate user experience across autonomy development
  • Build reliable backend systems and efficient front-end components that integrate with autonomy software, CI pipelines, and mission analysis tools
  • Automate analysis, testing, and deployment processes to improve developer efficiency and product quality
  • Own projects end-to-end, collaborating across teams and cross-functional initiatives to define needs, prototype solutions, and deliver production-ready results

Skills

Full Stack Development
JavaScript
React
Node.js
Python
Data Visualization
Backend Development
Frontend Development
CI Pipelines
Automation
UX Design
Software Engineering

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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