System Integration & Test Intern (Summer 2027)

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a System Integration & Test Intern at Reliable Robotics, you will develop and execute system-level integration tests across multiple test platforms to exercise our autonomous flight systems. You will work alongside a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars to familiarize yourself with the system, develop test plans, and take the system through its paces. These integration and test activities will both verify that the system delivers its intended function and validate that our uncrewed aircraft can be safely integrated into the National Airspace System.

Responsibilities

• Design and execute software-in-the-loop and hardware-in-the-loop tests to verify and validate elements of our autonomy system. Analyze test results and investigate anomalies and failures.

• Implement data reduction and data review pipelines to allow for rapid dissemination of test results from multiple test platforms

• Develop test infrastructure to enable automatic execution of both software-in-the-loop and hardware-in-the-loop tests

• Develop tools to enable traceability between test results and system requirements

• Author formal test reports to document the progress of the system through a test campaign

Basic Success Criteria

• Currently enrolled as a junior or senior in an undergraduate program in aerospace engineering, robotics engineering, software engineering, or similar field of study

• A solid understanding of fundamentals such as engineering math, kinematics/dynamics, or computer science

• Proficient in Python

• Proactive and motivated to tackle hard problems

• Excellent written and verbal communication skills

Preferred Success Criteria

• Currently enrolled in a graduate program in aerospace engineering, robotics engineering, software engineering, or similar advanced degree

• Experience in one or more of the following areas: hardware-in-the-loop testing, simulation of aerospace systems, probability theory

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]