We are seeking a seasoned AI Software Stack Validation Leader to own end‑to‑end system validation, acceptance, and release readiness of a complex, multi‑layer AI software stack spanning frameworks, compilers, runtimes, drivers, firmware, and hardware platforms. The leader will build and scale a high‑impact validation team, architect modern validation infrastructure, and work cross‑functionally with architecture, platform, firmware, silicon, and customer engineering teams. Key Responsibilities Own end‑to‑end validation strategy for the AI software stack across: Frameworks / serving layers Compiler and graph transformation layers Runtime, scheduling, memory management Drivers, Firmware and hardware interfaces Define system acceptance criteria that capture correctness, stability, performance, scalability, and regressions across layers. Drive left‑shifted validation , enabling meaningful coverage well before full hardware. Establish formal acceptance test plans and measurable exit criteria for each release milestone. Architect scalable validation environments and test frameworks Drive best‑in‑class practices in automation, regression, stress, scale, and performance validation . Influence architecture decisions by providing early validation feedback and system risk assessment. Build, mentor, and scale a validation engineering team with deep system understanding. Foster a culture of quality, technical rigor, and product ownership .
14+ years of experience in system software, platform validation, or end‑to‑end software quality engineering. Strong hands‑on background across multiple layers of the software stack. Proven experience defining and owning system acceptance criteria and release decisions. Deep expertise in debugging complex cross‑layer issues involving software, firmware, and hardware. Experience leading and scaling senior technical teams . Strong communication skills with the ability to clearly articulate risk, readiness, and trade‑offs to senior leadership.
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