Software Test & Automation Engineer II
- Market p25–p75
- $112k–$150k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +1197% of open
- All software engineering
- 74,900open
Quantum Space is redefining mobility and maneuverability in space. Our high-mobility spacecraft platforms support national security, civil, and commercial missions with unmatched flexibility and propulsion capability. We build fast and iterate quickly.
Who We’re Looking For
We are seeking a skilled and motivated Software Test & Automation Engineer II to develop and maintain automated testing solutions that ensure the reliability, functionality, and performance of our next-generation spacecraft flight software. In this role, you will contribute to software integration, verification, and regression testing by developing automated test frameworks, requirements-based test cases, and test scripts that validate mission-critical spacecraft functions.
You will work closely with flight software, systems engineering, and integration and test teams to support software testing across software-in-the-loop (SIL), hardware-in-the-loop (HIL), and flight-representative environments. This position is ideal for an engineer with strong programming and test automation skills who thrives in a fast-paced environment, enjoys solving complex technical challenges, and is passionate about building reliable software for next-generation space missions.
Where You’ll Make an Impact
- Develop and maintain automated integration, verification, and regression testing capabilities for spacecraft flight software.
- Design, implement, and execute requirements-based test cases and automated test scripts to validate flight software functionality and performance.
- Develop and enhance automated test frameworks using Python, C/C++, or equivalent programming languages.
- Verify spacecraft command and telemetry processing, mode management, fault management, and other critical flight software functions.
- Support software testing in software-in-the-loop (SIL), hardware-in-the-loop (HIL), and flight-representative environments.
- Collaborate with flight software developers, systems engineers, and integration and test teams to identify defects, troubleshoot issues, and support root-cause analysis.
- Develop and maintain automated regression test suites to ensure software changes do not impact existing functionality.
- Integrate automated testing into CI/CD pipelines to improve software quality, testing efficiency, and development workflows.
- Analyze test results, document defects, and generate verification reports to support software readiness and requirements compliance.
- Support the development and maintenance of software test environments, simulation tools, and test infrastructure.
- Participate in technical reviews and contribute to improvements in software verification processes, automation tools, and configuration management practices.
What It Takes
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Aerospace Engineering, or a related technical field.
- 2+ years of experience in software development, software testing, test automation, or a related engineering discipline.
- Strong programming skills in Python, C/C++, or equivalent languages.
- Experience developing automated test scripts, test frameworks, or software verification tools.
- Experience testing embedded systems, real-time software, or complex software applications.
- Understanding of software integration, verification, validation, and regression testing methodologies.
- Familiarity with automated testing, CI/CD processes, and software configuration management practices.
- Experience with software debugging, troubleshooting, and defect tracking.
- Strong analytical, problem-solving, and communication skills with the ability to work effectively in a collaborative engineering environment.
Nice-to-Have Experience
- Experience with spacecraft flight software, satellite systems, avionics, or other mission-critical embedded software.
- Familiarity with spacecraft flight software architectures, command and telemetry processing, mode management, and fault detection and recovery.
- Hands-on experience with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing environments.