





Senior, niche AI/firmware validation reduces pool, but Tier‑1 brand and Bangalore increase applicant density.
Highly specialized AI-plus-firmware-plus-hardware validation skills have limited transferability across industries.
Explicit 14+ years, deep cross-layer validation expertise, and leadership make hiring filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end validation strategy and release readiness for a complex multi-layer AI software stack including frameworks, compilers, runtimes, drivers, firmware, and hardware integrations.
Architect scalable validation environments and test frameworks, establish formal acceptance test plans with measurable exit criteria across all release milestones.
Build and lead a validation engineering team, drive best practices in automation, regression, stress, scale, and performance validation, and provide early validation feedback to influence architecture decisions.
14+ years of experience in system software, platform validation, or end-to-end software quality engineering.
Strong hands-on expertise across multiple layers of software stack including software, firmware, and hardware interaction.
Proven experience defining and owning system acceptance criteria and making release decisions.
Experience leading and scaling senior technical teams.
Deep technical background capable of debugging complex cross-layer issues spanning software, firmware, and hardware.
Experienced in validating AI software stacks end-to-end with a focus on quality, stability, and performance at scale.
Strategic leader able to communicate technical risks, readiness, and trade-offs effectively to senior leadership and drive architecture alignment.