Software Test Engineer, Next-Gen Aircraft (R3696) at Shield AI

Dallas, Texas, United States

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

Requirements

  • Typically, 2+ years of related experience with a Bachelor’s degree (CE, CS, EE); or some industry experience (intern, startup, self-projects) with a Master’s or PhD degree
  • Strong C++ or Python skills, basic proficiency in the other
  • Experience in automated testing or bare-metal firmware development
  • Familiarity with common version control (git) and build/packaging systems (CMake, Poetry, etc)
  • Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
  • Passion for growth, fast-paced environments, and holding self to standard of excellence
  • Preferred Qualifications
  • 2+ years building automated test solutions for aircraft or autonomous vehicles
  • Intermediate to advanced skills in Python and C++
  • Great testing skills for integrated software systems

Responsibilities

  • Implement software interfaces and drivers to orchestrate simulation environments, hardware devices, and test equipment – enabling real-world behaviors, failure injection, and hardware manipulation
  • Define test cases to verify and validate embedded software at a system level, automating them to run continuously
  • Prototype innovative capabilities to automate aircraft software testing
  • Support release test planning and execution leading up to flight test events and major product milestones
  • Work cross-functionally across Aircraft Autonomy & Software teams to derive requirements for the aircraft system, test infrastructure, and quality gates. Partner with our Hardware Test team to define and obtain the hardware infrastructure we need

Skills

Automated Testing
Embedded Software
Simulation Environments
Hardware Drivers
Test Equipment
Continuous Integration
Failure Injection
System Validation
Avionics
Flight Control Software

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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