d-Matrix
Director, Software Quality Engineering
$195K–$330K
Santa Clara · Hybrid · Director · Full-time · Posted Oct 15, 2026
- Experience
- No years specified.
- Education
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
About the job
Leads software quality strategy and execution across firmware, compiler, runtime, and inference-serving software, including test automation, release qualification, AI-assisted engineering, and software license and AI policy compliance.
What you'll do
- Set quality strategy, test architecture, automation, coverage, and release-readiness criteria; qualify release candidates and communicate risks.
- Develop the software quality engineering team and improve testing, defect triage, numerical accuracy, performance, and stability practices.
- Lead software license compliance and coordinate the company’s AI use policy with Legal and other stakeholders.
What they ask for
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
- Experience setting quality strategy and test architecture while leading daily delivery and developing a software quality or test engineering team.
- Strong programming ability in Python and/or C++, including building test frameworks and reviewing test code.
- Systems software testing experience, including hardware/software integration with real devices; experience with CI, coverage under resource constraints, and promotion or release gates.
Nice to have
- Knowledge of machine learning or inference, including quantization, numerics, and model accuracy evaluation; familiarity with inference-serving software and relevant performance benchmarks.
- Experience with Kubernetes-based test environments, hardware-in-the-loop testing, device farms, lab automation, or open-source license compliance.
Pay
$195K – $330K USD base salary
Tools
Python, C++, Kubernetes
AI focus
Evaluate and adopt AI-assisted test generation, triage, and failure clustering; assess AI-assisted engineering workflows and coordinate the company's AI use policy.
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