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Staff Engineer, Quality Assurance (R5799)

Job Description - Staff Engineer, Quality Assurance (R5799)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedInXInstagram, and YouTube. 

Job Description:



The Quality Assurance team is responsible for ensuring the overall quality of software releases. This team is the gatekeeper that ensures only approved and assured software is released to customers and clients.  
The Quality Assurance team works closely with the Development and Hardware teams to achieve this goal. 
 


Software Test Engineers report to the Quality Assurance lead and then to the Director of Engineering.


What you'll do:



  • Complete software engineering and quality assurance tasks across the software development lifecycle (SDLC), including test case development and execution; regression testing; implementing automated tests; verifying product performance goals and measures; ensuring project requirements are met. This includes documentation of all testing activities and approval matrices of software releases. 

  • Complete tasks to an agreed schedule and recognise any likely delays or failures early and communicate them immediately to the Director of Engineering. 

  • Collaborate with other Software Engineers and Software Quality Assurance Engineers by participating in ad-hoc discussions to improve software design, testing processes and outcomes, and software quality. 

  • Test environment preparation, including hardware setup, device flashing, software installation, software execution, integration testing, operational testing on flights in and around Melbourne. 


Required qualifications:



  • Tertiary qualifications in Computer Science or Software Engineering, or equivalent overseas qualification (such as NZCE). 

  • Cross-platform testing experience, including Windows and Linux platforms. 

  • Proficient in setting up and managing different test environments and operating systems. 

  • Ability to analyse and solve complex software engineering problems individually, or as part of a team, depending on project requirements. 

  • Reliable and able to work to project schedules and deadlines. 

  • Experience working in an Agile software development environment, contributing to software solutions and automation frameworks. 

  • Strong knowledge of fault tracking systems. 


Preferred qualifications:



  • ISTQB accreditation

  • Experience with automated testing tools 

  • Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) test experience 

  • Experience in testing and validating real-time embedded software systems.


#LD

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

 

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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