AI SW Validation Lead

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.

Additional Information

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.

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Company Intel

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