The Orion Program is a groundbreaking collaboration between NASA and Lockheed Martin, dedicated to developing the Orion spacecraft—the next-generation vehicle designed for deep space exploration. As a key part of NASA’s Artemis Program, Orion will help establish a long-term presence on the Moon and serve as a steppingstone for future human missions to Mars.
Position Overview
We are seeking a Test Engineer to support software unit testing efforts for the Orion Program. The selected candidate will work closely with Lockheed Martin technical leads to ensure that critical software components meet rigorous quality and performance standards.
Key Responsibilities
Perform software unit testing as directed by the Lockheed Martin technical POC (Point of Contact).
Develop, execute, and document unit test plans and test cases.
Analyze test results and provide detailed reports on findings, anomalies, and performance metrics.
Collaborate with software developers and system engineers to identify and resolve defects.
Ensure compliance with software verification and validation standards.
Utilize industry-standard testing tools and automation frameworks to enhance testing efficiency.
Support test reviews, peer reviews, and formal verification activities.
Required Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
Experience in software testing, unit testing, or software quality assurance.
Proficiency in programming languages such as C, C++, Python, or Java.
Knowledge of software development lifecycle (SDLC) and Agile methodologies.
Experience with unit testing frameworks (e.g., Google Test, JUnit, or equivalent).
Strong analytical and problem-solving skills.
Ability to work in a team environment and communicate effectively.
Preferred Qualifications
Experience with embedded systems or real-time software testing.
Familiarity with aerospace or defense industry standards (e.g., DO-178C, NASA software assurance standards).
Knowledge of continuous integration/continuous deployment (CI/CD) pipelines.
Experience with static and dynamic code analysis tools.
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