Job Description

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.

Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products?

The Hivemind Test team is committed to building a complete and robust test infrastructure that supports the development and integration of the world’s best AI pilot. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind ecosystem. This ecosystem includes software systems for autonomy behaviors, ground-control systems, multi-network communications, operating systems, embedded devices, test frameworks, and more. Our group is charged with validating and verifying that the entire Hivemind software ecosystem is operationally ready to meet mission objectives and reliability standards. This is achieved via a cross-functional team, with skills ranging from autonomy system engineering, robotics integration, software development, test engineering, and quality assurance.

We are seeking an expert Software Test and Integration Engineer who is motivated to join us in our mission. Someone with experience designing and implementing innovative software solutions for automation testing and data analysis, who can become a Super User of our Hivemind product and extend test plans beyond expected uses to anticipate novel customer use cases and edge-case instances. You will play a critical role in the organization, collaborating with developers to identify and root cause bugs, integrate newly developed capabilities into the product framework, and define the best approaches to software API and autonomy test coverage.

What you'll do:

• Become a super-user of our state-of-the-art AI software product. Learn to automate multi-agent scenarios, analyze robotic data, and validate test cases. Try using the product as a customer would and try and break it!
• Test new features: Collaborate cross-functionally with developer teams to design test plans for new single and multi-robot autonomy algorithms, user interfaces, middleware, and server applications.
• Enable coverage testing of product capabilities: Design and implement tests to cover all performance aspects of a product capability across all permutations of operating environments and use cases.
• Design automation tooling & automate tests: Architect innovative automation frameworks that enhance testing efficiency and effectiveness. Automate tests to run on Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop test fixtures.
• Integrate new capabilities: Work with other integration engineers to implement test solutions on prototype robotic hardware platforms.
• Optimize test efficiency: Determine the testing strategy (what tests, at what frequencies, etc.) for the overall product and work with DevOps/Ex teams to optimize testing design on CI.
• Evaluate test data and automate reporting: Create analyzer code for the automated analysis of test data. Review test data, identify and root cause bugs, report to developers, and create automated reporting tools for test performance and bug attributes.
• Check off requirements, help determine metrics: Work with product and system engineers to ensure test coverage of all product and engineering requirements. Assist in developing tooling to demonstrate full requirement coverage and reporting.

Required qualifications:

• Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD.
• Proficiency in programming languages including Python or C++.
• Experience with autonomous systems or server applications or middleware.
• Demonstrated experience of designing, communicating, and managing test cases, and reporting bugs.
• Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments.
• Strong expertise with CI/CD pipelines.
• Strong problem-solving skills and a proven track record of delivering high-quality software solutions.
• Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.

Preferred qualifications:

• Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.
• Experience with hardware or embedded systems.
• Expert knowledge of Python.
• Experience with ROS.
• Experience with white box testing.
• Familiarity with networking, operating-systems, and radio communications.
• Experience designing automated tooling for testing for GUI applications.
• Experience designing automated tooling for testing server applications.