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TPU, Pre-Silicon Validation Engineer, Google Cloud - Job Opportunity at Google

Bengaluru, India
Full-time
Senior
Posted: March 12, 2025
On-site
USD 150,000 - 220,000 per year based on location, seniority, and specialized skill set

Benefits

Competitive compensation and comprehensive benefits package typical of Google
Professional development and learning opportunities in cutting-edge AI hardware
Access to world-class technical infrastructure and resources
Collaborative work environment with industry-leading experts
Opportunity to shape future of AI/ML hardware acceleration

Key Responsibilities

Lead pre-silicon validation of Google Cloud TPU projects through hardware-software stack integration
Architect and implement ASIC models for emulation and FPGA prototypes
Develop custom test cases, workloads, and validation infrastructure
Drive silicon bring-up, validation, and qualification processes
Collaborate across teams to ensure optimal system performance and debugging

Requirements

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

Experience

5 years in architecture, hardware, digital design, and software co-design

Required Skills

Verilog/SystemVerilog (3+ years) Computer architecture and digital design IP integration (PCIe, DDR memory) FPGA/Emulation platforms expertise RTL debugging and chip design flows Machine Learning Accelerator architecture
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Sauge AI Market Intelligence

Industry Trends

The AI hardware acceleration market is experiencing explosive growth, with TPU technology becoming increasingly critical for large-scale AI/ML deployments Pre-silicon validation expertise is in high demand as companies race to develop more efficient AI accelerators Custom silicon solutions for AI are becoming a key differentiator in cloud services competition

Role Significance

Likely part of a 15-30 person specialized hardware validation team within larger TPU development organization
Senior technical position with significant influence on Google's AI infrastructure development

Key Projects

Next-generation TPU architecture validation Integration of AI accelerators with cloud infrastructure Performance optimization of machine learning hardware systems

Success Factors

Deep understanding of hardware-software co-design principles Strong problem-solving skills in complex system integration Ability to collaborate across multiple technical disciplines Experience with large-scale validation methodologies

Market Demand

Very High - Critical shortage of experienced pre-silicon validation engineers with AI hardware expertise

Important Skills

Critical Skills

Pre-silicon validation expertise is crucial for ensuring successful TPU deployments System-level understanding of hardware-software interaction in AI accelerators Advanced debugging and problem-solving capabilities

Beneficial Skills

Knowledge of cloud infrastructure and distributed systems Understanding of machine learning workloads and optimization Experience with performance analysis and optimization

Unique Aspects

Direct involvement in cutting-edge AI hardware development
Opportunity to influence next-generation cloud infrastructure
Access to Google's vast technical resources and expertise

Career Growth

2-3 years typical progression timeline given rapid industry advancement

Potential Next Roles

Technical Lead for Hardware Validation Hardware Architecture Lead Senior Technical Program Manager in AI Hardware

Company Overview

Google

Google leads in AI infrastructure development with its TPU technology being central to its cloud services strategy

Dominant position in cloud services with increasing focus on custom AI hardware solutions
Bengaluru office serves as a major technical hub for Google's hardware development initiatives
Fast-paced, innovation-focused environment with emphasis on technical excellence and collaboration
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