Director, Software Quality Engineering

Highlights

• Help build the future of AI inference with memory-centric architecture.
• Set quality vision and test architecture across firmware to inference serving.
• Extend team capacity with automation, reusable tooling and AI-assisted practices.

What they offer

• Equity
• Bonus

Ideal candidate

Hands-on quality leader energized by hard AI infrastructure problems who blends strategic vision with deep technical judgment. You coach engineers, use evidence to manage risk, and thrive on execution and collaboration.

Requirements

• 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
• 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