Director, Software Quality Engineering

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. Our work spans numerical accuracy, performance, and stability on evolving hardware and software. 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. Employment type: Full-time, exempt. Reports to: Vice President of Software.

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

Requirements

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 in firmware, compilers, runtimes, drivers, distributed systems, or comparable software, including hardware/software integration with real devices; Ability to evaluate AI-assisted engineering workflows and judge whether AI-generated tests verify intended behavior rather than merely pass; Experience designing test coverage under resource constraints, integrating tests into CI, and defining promotion and release gates; Sound judgment about coverage, risk, and metrics, and the ability to work credibly with developers and communicate clear quality assessments

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; Experience with hardware-in-the-loop testing, device farms, or lab automation; Experience managing open-source license compliance