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AI/ML Silicon Validation Lead, Google Cloud, TPU

Google - Bengaluru, Karnataka, India

Posted Jun 11, 2026

Benefits

Parental leave
18 weeks Source: https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/. source Last checked May 7, 2026.
Non-birth-parent leave
18 weeks Source: https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/. source Last checked May 7, 2026.
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Source-linked checked May 7, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

AI/ML Silicon Validation Lead, Google Cloud, TPU Bengaluru, Karnataka, India In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. The Platform Enablement team is responsible for the development, bring-up and qualification, deployment, sustaining the quality of our AI/ML custom silicon. We plan and integrate hardware and software stacks and operate them on emulation, simulation and post-silicon platforms. We work closely with silicon design, platform hardware, firmware and software teams to enable on-time delivery of high quality silicon products. As a Manager, you will be responsible for growing the team through hiring, developing a psychologically safe environment for the team to succeed, enabling people development through effective career conversations, mentoring and building a strong community. In this role, you will be working on building, managing and leading a team of engineers responsible for post-silicon validation of AI/ML SoC which uses technology, working closely with the architecture, design, verification, firmware, software and platform leads, ensure timely silicon bring-up, enablement and debug closures and driving the preparation of necessary tests and collaterals for effective

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