Staff Quality Automation Engineer

Highlights

• Help build future of AI inference with memory-centric architecture.
• Ship breakthrough tech from chips and software to rack-scale systems.
• Turn QE workflows and prototypes into reliable internal products.

Ideal candidate

A collaborative, humble builder energized by hard AI infrastructure problems who loves turning rough scripts into reliable tools colleagues trust and actively uses AI to improve how they work.

Requirements

• 5+ years of experience
• Strong software-development skills: write, debug and maintain code, explain design choices, review others' work and investigate failures beyond a test's surface result
• Experience building shared test automation, frameworks or engineering tools that others use
• Linux, version control, code review, automated tests and CI workflows
• Regular use of AI coding agents or AI workflows, with examples of what you built, how your approach evolved and how you checked the results
• Experience guiding technical work across distributed teams through design and code reviews
• Systems software testing in firmware, drivers, compilers, runtimes or distributed systems, including real devices
• ML inference, model execution, numerical comparisons, quantization or performance benchmarks
• Test frameworks, CI pipelines, containers, reporting or lab automation
• Hardware-in-the-loop, multi-card or multi-node configurations, and extended stability or soak testing
• Internal engineering products used across teams, or human-reviewed AI workflows used repeatedly