Senior Engineer, Software Quality at Shield AI

California, United States

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$117,732 – $176,598Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, RoboticsIndustries

Requirements

Typically requires a minimum of 4 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 2 years and a master’s degree; or 1 year with a PhD
Proficiency in software quality best practices, automation, programming in C++, Python
Experience with embedded systems
Strong problem-solving skills and a proven track record of delivering high-quality software solutions
Strong communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership
Experience with C++14, C++17 (preferred)
Experience with JSON (preferred)
Experience with DSL (preferred)
Experience with ROS (Robot Operating System) (preferred)
Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments (preferred)
Experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines (preferred)
Familiarity with networking, operating-systems, and radio communications (preferred)

Responsibilities

Develop and assist with the design of automation framework and tests to scalably and reliably validate EdgeOS quality
Address quality needs focused on API coverage, SW integration, and Hardware-in-Loop integration
Address common software code quality issues across EdgeOS as well as software built by peer Hivemind teams
Assist with creation of frameworks and tooling available for customers so they can leverage and rapidly retest with their own add-on software
Interface with peer integration and test teams to implement complementary tools, tests, share, and best-practices
Other duties as assigned

Skills

C++

Python

embedded systems

ROS

CI/CD

JSON

HIL testing

simulation tools

software quality

automation

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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