Software Quality Engineer, Serbia

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI.  Software Quality Engineer, Serbia Location: Belgrade, Serbia Role Overview You will join d-Matrix’s Quality Engineering (QE) team as a hands-on software quality engineer, combining software development skills with testing experience to assess functional behavior, numerical accuracy, performance, and stability across our software stack and supported hardware configurations. You will translate requirements and engineering changes into clear test plans, build repeatable tests, investigate failures, and provide evidence that helps engineering and release owners make decisions. Automation and practical AI use are central to the role. You will use AI to draft test plans, write test code, and analyze logs, and you will verify its output against requirements and observed behavior. You will partner with QE, Product, and Engineering colleagues across locations. Your first priority is to learn an existing workflow, contribute to current qualification work, and improve it without disrupting delivery. What You Will Do - Translate requirements, changelogs, and engineering handoffs into test plans with clear scope, configurations, expected results, and evidence. - Build and maintain automated functional, integration, and end-to-end tests, and integrate them into CI, nightly, and release workflows. - Run qualification against the exact candidate build and supported configuration, recording hardware, software versions, commands, inputs, and results so others can reproduce the run. - Investigate failures using code, logs, and focused experiments, distinguishing product defects from environment problems and unreliable tests. - Report defects with expected and actual behavior, reproducible steps, and evidence, then verify fixes and document unresolved results and coverage gaps. - Assess numerical accuracy, performance, and stability against agreed tolerances and reliable baselines, confirming expected behavior with engineering owners. - Use AI to assist test design, coding, and log analysis, reviewing outputs and verifying conclusions before relying on them, in line with approved data-handling rules. - Prioritize coverage against product risk and available hardware, and document workflows, results, and handoffs so another engineer can execute them. What You Will Bring - Strong software development ability and practical software quality or test engineering experience, including reading application or systems code and debugging beyond surface test failures. - Programming skills suitable for test automation and tooling, demonstrated by code you have built or maintained (Python is used in the current workflow). - Experience designing tests from requirements, including negative cases, boundary conditions, and integration behavior, and explaining what the tests do and do not establish. - Experience investigating failures with logs, configuration evidence, and reproducible experiments, and working with developers to verify fixes. - Evidence of improving a workflow through automation and reusable tooling, including how you verified correctness and managed maintenance. - Practical use of AI-assisted engineering for test planning, c