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Lead CPU Performance Architect, Silicon

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Mountain View, CA, USA; Portland, OR, USA; Poughkeepsie, NY, USA.Minimum qualifications:• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.• 8 years of experience in high-performance microprocessor architecture, micro-architecture, performance, and design.• Experience in CPU architecture with CPU blocks.• Experience in performance modeling, analysis, correlation, and workload characterization.Preferred qualifications:• PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.• Experience leading CPU/ML micro-architecture exploration, performance model development, performance analysis, performance correlation, and workload characterization.• Knowledge of system software components, such as Linux, drivers, and runtime.• Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86).• Excellent verbal and written communication skills.About The JobBe part of a diverse 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.As a Lead CPU Performance Architect in architecture and performance, you will be the key contributor to improve processor instruction set architecture, to develop innovative micro-architecture features, and deliver Google’s advanced SoC products. You will have the opportunity to collaborate with talents in Google’s Android applications and Google’s AI teams to plan and conduct application and benchmark performance analysis, and to project their performance at various design phases.The US base salary range for this full-time position is $177,000-$266,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .Responsibilities• Deliver solutions to problems that may be ambiguous or lacking clear precedent including CPU performance, micro-architecture design, tool infrastructure, and methodology.• Plan, drive, and evaluate ARM’s architecture features from both architecture and performance angles.• Define and write CPU subsystem architecture specifications.• Lead the collaboration with RTL, design verification, and physical design teams to develop an efficient CPU implementation.• Drive performance correlation between the performance model and RTL implementation, and perform pre-silicon and post-silicon performance bug triage.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Average salary estimate

$221500 / YEARLY (est.)
min
max
$177000K
$266000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead CPU Performance Architect, Silicon, Google

Are you ready to lead the charge in shaping the future of CPU architecture? Join Google as a Lead CPU Performance Architect in beautiful Mountain View, CA, where you’ll become an integral part of a diverse team dedicated to developing innovative silicon solutions for products loved by millions. As a pivotal contributor, you’ll engage in creating advanced processor instruction set architectures and developing cutting-edge micro-architecture features. Your experiences in high-performance microprocessor architecture will allow you to push boundaries in engineering excellence. Collaborating with talented teams from Google’s AI and Android applications, you will conduct performance analysis and project outcomes throughout various design phases. The ideal candidate will hold a master’s degree, with eight years of relevant experience under their belt, while those with a PhD will have an edge. You’ll need to be passionate about performance modeling, analysis, and workload characterization, with a solid understanding of system software components like Linux. Communication is key; thus, your verbal and written skills need to shine. The salaried compensation ranges from $177,000 to $266,000, adding a bonus and equity into the mix, reflecting the premium nature of this pivotal role. If you’re eager to make a significant impact through fact-driven designs in CPU performance, this is the role for you—come make a difference at Google!

Frequently Asked Questions (FAQs) for Lead CPU Performance Architect, Silicon Role at Google
What responsibilities does a Lead CPU Performance Architect at Google hold?

As a Lead CPU Performance Architect at Google, your responsibilities encompass delivering innovative solutions to ambiguous problems related to CPU performance and micro-architecture design. You'll define CPU subsystem specifications, collaborate closely with various teams like RTL and physical design, and drive performance correlation between models and implementations. Your insights will be instrumental in enhancing ARM architecture features from both an architectural and performance standpoint.

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What qualifications are required to apply for the Lead CPU Performance Architect position at Google?

To apply for the Lead CPU Performance Architect position at Google, you need a master’s degree in Electrical Engineering, Computer Engineering, or Computer Science. Furthermore, a minimum of eight years of experience in high-performance microprocessor architecture and performance modeling is essential. Experience with CPU architecture, particularly with CPU blocks, is required. Candidates with a PhD in a related field will have an advantage.

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How does Google define the compensation structure for the Lead CPU Performance Architect role?

At Google, the compensation for the Lead CPU Performance Architect role ranges from $177,000 to $266,000, contingent upon various factors such as location, experience, and educational background. This base salary is complemented by bonuses, equity, and comprehensive benefits. Each candidate's pay is tailored based on their unique qualifications during the hiring process.

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What type of work environment can a Lead CPU Performance Architect expect at Google?

As a Lead CPU Performance Architect at Google, you'll work in an inclusive, dynamic, and collaborative environment. Google promotes diversity and innovation, offering you the chance to collaborate with talented colleagues from different fields like AI and Android applications. This vibrant culture nurtures creativity and encourages the exploration of groundbreaking ideas in the realm of CPU architecture and performance.

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What is the significance of performance modeling for a Lead CPU Performance Architect at Google?

Performance modeling is crucial for the Lead CPU Performance Architect at Google as it drives the efficiency and effectiveness of CPU designs. It involves analyzing and correlating workloads, which helps project performance outcomes at varying design phases. This ensures that the final product meets Google's high standards for performance, efficiency, and integration in their custom silicon solutions.

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Common Interview Questions for Lead CPU Performance Architect, Silicon
Can you explain your experience with high-performance microprocessor architecture?

When addressing your experience with high-performance microprocessor architecture, share specific projects you've worked on. Highlight the challenges faced, your approach to resolution, and the successful outcomes. It's essential to showcase your technical skills and how you've implemented advances in micro-architecture that have positively impacted performance.

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What methods do you use for performance modeling in CPU design?

Discuss the various methodologies you utilize for performance modeling, citing specific tools and techniques. Explain how you analyze and correlate different workloads and how this impacts the design process. Make sure to emphasize any innovative approaches you've taken that have led to enhanced performance outcomes.

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How do you collaborate with design verification and physical design teams?

In your response, illustrate your collaborative approach by providing examples of successful cross-team initiatives. Emphasize effective communication strategies and how you foster positive working relationships that lead to achieving a common goal. Proving your experience in managing differing viewpoints to reach consensus can reflect strong leadership skills.

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What challenges have you faced in CPU architecture exploration?

Describe specific challenges you’ve encountered during CPU architecture exploration, focusing on how you navigated these difficulties. Highlight your problem-solving skills and your ability to innovate under pressure, ensuring you mention any successful strategies you implemented to overcome these challenges.

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How do you ensure alignment between performance models and RTL implementations?

Share your process for aligning performance models with RTL implementations, including any specific tools or methods you employ. Explain the importance of this alignment for project success and how you track and manage potential discrepancies, demonstrating your analytical skills.

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What do you think are the critical trends in CPU architecture?

Discuss current trends in CPU architecture such as parallel processing, energy efficiency, and AI integration. Express your thoughts on how these trends affect future designs and how you envision your role as a Lead CPU Performance Architect aligns with these evolving areas.

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How do you handle performance optimization during the design phase?

Talk about your systematic approach to performance optimization during the design phase. Highlight any tools you use, the metrics you track, and examples where your optimization efforts made a notable impact on product performance.

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What is your experience with benchmarking CPU performance?

Detail your experience with CPU benchmarking, including any benchmarks you’ve developed or used. Discuss how you analyze the results, what parameters you focus on, and how you utilize these insights to guide design decisions. Provide instances where benchmarking has led to significant advancements in project outcomes.

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How do you keep up with advancements in CPU architecture?

Explain your strategies for staying abreast of changes in CPU architecture, including attending industry conferences, following academic publications, and participating in relevant forums. Show that you’re proactive about continuous learning, as it's vital for a lead architect to maintain relevance in such a rapidly changing field.

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What role does communication play in your work as a Lead CPU Performance Architect?

In your answer, underscore the importance of clear and effective communication in cross-functional collaboration. Provide examples of how you’ve facilitated dialogue among diverse teams to promote transparency and ensure that everyone is aligned on project objectives and updates.

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Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Take Risks
Collaboration over Competition
Growth & Learning
Transparent & Candid
Customer-Centric
Social Impact Driven
Rapid Growth
Passion for Exploration
Dare to be Different
Reward & Recognition
Friends Outside of Work
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Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Bias Training
Employee Resource Groups
401K Matching
Paternity Leave
Maternity Leave
Some Meals Provided
Social Gatherings
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DATE POSTED
December 13, 2024

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