BS or MS in Computer Science, Computer Engineering, Computer Systems, or a closely related field.
Strong programming fundamentals and ability to read/debug production code (C++, C#, and/or Python).
Experience or demonstrated capability in software testing, system validation, automation, or reliability engineering.
Strong analytical and debugging skills; ability to structure triage and converge on root cause using evidence (logs, repro steps, instrumentation).
What sets you apart
Experience with Windows and/or Windows real-time/real-time control systems, multi-threading, and hardware-adjacent software.
Experience with CI/CD pipelines and keeping automated validation stable and actionable (flakiness reduction, diagnostics).
Familiarity with common engineering tools (Git, issue tracking, documentation, and test management tools).
Location / Travel
Location: Phoenix, AZ (on-site/hybrid per team policy).
Travel: Up to ~10% (as business needs require).
What Makes You Successful in This Role
Systems thinker: you naturally ask "what could go wrong?" and validate interactions across subsystems.
Bias for evidence: you use structured debugging and measurable signals to drive decisions.
Engineering mindset: you build automation/tools that scale and you raise testability and reliability upstream.
Collaborative influence: you communicate risk clearly and partner with developers to improve designs before release.
Apply today to be part of what's next.
To learn more about ASM, find us at asm.com and on LinkedIn , Facebook , Instagram, X and YouTube .
Additional Information
Step into a career with ASM, where cutting edge technology meets collaborative culture.
For over 55 years ASM has been ahead of what's next, at the forefront of innovation and what's technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.
Software Systems Engineer II -Quality Engineering Focus
At ASM, our software has immediate, tangible impact on the operation of complex semiconductor manufacturing equipment. As a Software Systems Engineer II (Quality Engineering Focus), you will be an engineering partner responsible for system-level reliability, robustness, and release readiness. You will design system validation strategies, build and maintain automation and diagnostic tooling, and work closely with software development, process, and support teams to prevent defects from escaping to customers in demanding industrial environments.
This is not a feature-delivery Software Developer role and it is not a manual test execution role. The core of the job is to think like a systems breaker: uncover failure modes, isolate root cause with evidence, and make that learning repeatable through targeted regressions and tooling.
What you'll be working on
Design and execute system-level validation strategies for software controlling semiconductor manufacturing equipment (simulation and on-equipment).
Develop and maintain validation harnesses, automated regression, and diagnostic tools to improve repeatability, coverage, and failure analysis.
Analyze system behavior against intended design; identify failure modes, edge cases, timing/sequence issues, performance limits, and reliability risks.
Read and reason about production code changes to determine validation scope; provide testability and reliability feedback during design/spec and code review cycles.
Validate software enhancements and defect fixes; reproduce field issues when possible and add meaningful regressions to prevent recurrence.
Partner with cross-functional engineering teams to define quality standards, improve CI/CD-aligned validation workflows, and strengthen release readiness.
Document test strategy, results, and risks in a clear, decision-oriented manner for engineering stakeholders.