Performance Architect, Use Case and Workload Analysis

Benefits

Parental leave

18 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

18 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

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.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Performance Architect, Use Case and Workload Analysis New Taipei, Banqiao District, New Taipei City, Taiwan; +1 more Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Conduct CPU power and performance correlation. Conduct CPU workload analysis and optimization on real use cases and commercial benchmarks. Drive post-silicon characterization and failure analysis for next-generation CPU and memory systems, focusing on optimizing F_max/V_min boundaries and root-causing complex silicon-level bugs. Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 4 years of experience in embedded system software development, test and debugging. Experience in programming (e.g., Python, or C/C++, Shell script). Experience with Android/Linux environments. Preferred qualifications: Experience in silicon characterization, system-level test (SLT), chip bring-up, hardware debugging, and failure analysis (FA). Expertise in performance and power analysis for CPUs, GPUs, TPUs, interconnect fabrics, and memory systems, including QoS tuning and bandwidth/latency analysis. Knowledge of OS kernel-level optimization, including schedulers,

Read the full description at www.google.com. FewerJobs shows a preview and links to the original posting.