Director, Software Quality Engineering

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.  Director, Software Quality Engineering Location: Santa Clara, CA (Hybrid on-site 3 days a week) Reports to: Vice President of Software Employment type: Full-time, exempt About the Role The Director, Software Quality Engineering leads quality across our firmware, compiler, runtime, and inference-serving software. You will set the vision, define the test architecture, and lead both automation strategy and day-to-day execution for the Software Quality Engineering team. Your first priority will be to assess our current processes, test content, tools, and frameworks. Create the practical roadmap while keeping current qualification work on schedule and developing the engineers who own it. Automation and AI-assisted engineering are central to this role. Build on the foundation and extend the team’s capacity to meet growing product and release complexity through automation, reusable tooling, and AI-assisted practices. You will stay hands-on enough to review framework code, investigate complex failures, and guide technical decisions. Our work spans numerical accuracy, performance, and stability on evolving hardware and software. Because test capacity is finite, you will make coverage decisions and help the team use evidence to distinguish product defects, infrastructure problems, and unreliable tests. You will also lead the company's open-source and proprietary software license compliance program (inbound and outbound) and coordinate the company's AI use policy, working closely with Legal and other stakeholders. Key Responsibilities - Define the quality strategy, technical roadmap, and test architecture across firmware, compiler, runtime, and inference serving - Build reusable test frameworks and automated functional, integration, and end-to-end coverage, with deliberate choices about what runs on available hardware and when - Develop continuous soak testing to assess long-run stability and produce useful failure evidence - Establish numerical comparison and tolerance policies with engineering owners, and detect performance regressions against reliable baselines - Define measurable QA readiness criteria and quality gates. Qualify the exact release candidate, including targeted customer fixes, and communicate results, gaps, and risks clearly - Improve defect triage and turn lessons from customer-reported defects into better coverage and engineering practices - Evaluate and adopt AI-assisted test generation, triage, and failure clustering where they deliver measurable benefits - Establish and maintain processes for open-source and proprietary software license compliance, including inbound and outbound obligations, in partnership with Legal - Coordinate implementation and ongoing review of the company's AI use policy with legal, security, and engineering leadership - Coach and develop the software quality engineering team Scope Clarification This role does not include: - Release assembly and maintenance - Building a large manual testing organization or outsourcing testing to vendors as the core strategy - Post-silicon hardware validation or silicon bring-up - Writing unit tests on behalf of development teams Firs