Embedded Engineering Spring 2026 Co-Op (Dallas, TX) at Shield AI

Dallas, Texas, United States

Shield AI Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Aerospace, DefenseIndustries

Requirements

  • Minimum of 2 years of coursework towards a degree in a related field (Computer Science, Electrical Engineering, Computer Engineering)
  • Strong C/C++ background
  • Experience in bare-metal firmware development for embedded systems
  • Experience in a collaborative development environment, focused on continuous integration/delivery & unit testing to assure software quality
  • Familiarity with common version control (git) and build systems (CMake, or similar)
  • Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
  • Preferred Qualifications
  • Experience working on cutting-edge autonomous robotic systems
  • Proven background in thriving within fast-paced environments, particularly within startup or R&D settings (school projects applicable)
  • Demonstrated adaptability, agility, and the ability to innovate under pressure
  • Classroom or project experience in developing code (Verilog, VHDL) for FPGAs

Responsibilities

  • Given ownership of a project tailored to start date, duration, and location
  • Partnered with a senior engineer as mentor for technical input and professional development
  • Develop high-quality C/C++ code
  • Participate in architecture, design, and code reviews
  • Integrate software from multiple departments including firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS)
  • Develop software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads
  • Facilitate the design process for updates to the software system architecture

Skills

C++
C
Embedded Software
Avionics
Firmware
UAV
Software Integration
Code Review
Sensors
Autonomy AI

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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