Director, Software Quality Engineering

Job Title

Director, Software Quality Engineering

Role Summary

Lead the Software Quality Engineering team that ensures the d-Matrix stack (firmware, compiler, runtime, and inference serving) works automatically, continuously, and with measurable evidence. This is a hands-on director role responsible for resetting strategy, driving automation-first testing, and delivering coverage and release gates that engineering trusts.

Experience Level

Senior - Director-level leadership. Source does not specify years of experience.

Responsibilities

Own strategy, tooling, automation, and team execution for quality across firmware, compiler/runtime, and inference serving.

• Define and execute a quality strategy spanning firmware, compiler/runtime, and serving, with tiered test plans (unit, simulated, single-/multi-card, rack).
• Design and deliver test frameworks and harnesses for reuse across layers.
• Build and maintain automated functional, integration, and end-to-end test suites from firmware through serving deployments.
• Implement numerical accuracy regression detection and tolerance-aware reference comparisons.
• Implement performance regression detection and benchmarking hygiene.
• Define measurable release readiness criteria and quality gates.
• Run defect triage, escape analysis, and quality metrics that the organization uses for decisions.
• Lead, grow, and hire for a team of eight, setting standards for how engineering tests their work.

Requirements

Required skills and experience to perform the role; preferred items listed separately.

• Must-have: Experience leading a software quality or test engineering team while remaining hands-on (writing and reviewing framework code).
• Must-have: Proven success taking over an existing team and changing direction, including upskilling existing engineers.
• Must-have: Strong programming ability in Python and/or C++ and experience building test frameworks.
• Must-have: Systems software testing experience (firmware, compilers, runtimes, drivers, distributed systems) and testing without a UI.
• Must-have: Experience with hardware and software integration testing and its failure modes.
• Must-have: Ability to design test strategy under constrained resources and to integrate suites into CI with promotion/release gates.
• Nice-to-have: ML/inference domain knowledge (quantization, numerics, model accuracy evaluation).
• Nice-to-have: Familiarity with inference serving stacks, Kubernetes-based test environments, hardware-in-the-loop testing, lab automation, or practical experience applying AI to test generation/triage.

Education Requirements

Not specified.

About the Company

Company: D Matrix

Headquarters: Santa Clara, CA, USA

d-Matrix develops hardware and software solutions to accelerate generative AI workloads, including firmware, compilers, runtimes and inference serving. The company focuses on performance, numerical correctness, and automated testing for AI inference systems.