Architect - GPU Competitive Analysis

Job Description

About the Role

As a GPU Performance and Power Architect at Intel, you will conduct performance analysis of GPUs and SoC’s and deliver GPU roadmaps for the company. Responsibilities include developing analytical performance and power models for AI and GPU workloads, collaborating with architecture and business teams and creating performance analysis projections for competition

You will work with our dynamic team on some of the following:

• Develop and maintain performance and power models for GPU 3D/AI
• System level performance analysis/ bottleneck analysis of complex integrated and discrete GPUs and System-on-Chips (SoCs).
• GPU Roadmap and its relevance to projections (able to focus on roadblocks, aggressive configs Vs realistic ones, assumptions)
• Understand key performance use-cases of the product. Define workloads and test suits targeting graphics, machine learning and creator applications running on these products.
• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
• Comprehensive and holistic understanding of GPU competitive space (what is relevant for the time, where does comp invest for growth in future, WL, scenarios etc.)
  
  

 

Behavioral Traits That We Are Looking For

• Be open and direct in highlighting gaps compared to competition
• Comfortable within a high visibility role that requires clarity with executives and architects alike
• Ability to effectively work with a cross-geo team of engineers, planners, and technicians through planning, development, design while delivering results
• Excellent communication skills and ability to present complex issues with clarity to drive decisions, self-motivated and self-directed
• Able to envision long term roadmap consideration for competitiveness. Be an allrounder for understanding industry traits and trends and its impact to short-term and long-term Intel roadmaps in relevant space.
  
  

Why join us?

• Cutting-Edge Technology: Work on the forefront of GPU technology, contributing to the development of next-generation graphics and AI solutions that power a wide range of applications from gaming to data centers.
• Innovation and Impact: Be part of a team that drives innovation and shapes the future of computing. Your work will have a direct impact on Intel's product roadmap and the competitive landscape of the GPU market.
• Collaborative Environment: Join a dynamic and collaborative team. Engage in cross-functional projects that offer diverse challenges and opportunities for growth.
• High Visibility: This role offers high visibility within the company, with opportunities to present your findings and influence key decisions. Your insights will be valued by senior leadership and stakeholders.
• Global Impact: Work on projects that have a global impact, contributing to Intel's mission to create world-changing technology that improves the lives of every person on the planet.
  
  

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• Education should be BS or higher in computer science, electrical engineering, or computer engineering or related field plus 8 years of experience in Performance/Power modeling and/or Graphics/AI workload analysis.
• Experience utilizing pre-existing PnP models in the context of GPU design
• Knowledge of Graphics and compute architecture, validation concepts, power and performance methodologies, and debug process flows.
• Skilled in programming languages, scripting and markup languages (Python, Pearl, Ruby, JSON, XML, etc.).
• Hands-on experience with industry standard 3D/AI benchmarks
• Knowledge of Power delivery study, Voltage-Freq analysis, Thermal analysis, leakage characterization
  
  

Preferred Qualifications

• Experience creating and maintaining your own PnP projection models
• Experience with performance monitoring tools, such as VTune, GPA, or other performance optimization tools.
• Experience optimizing code for performance.
• Experience with C, C , Python or statistics languages like R.
  
  

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Other Locations

US, Folsom

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Annual Salary Range for jobs which could be performed in the US $214,730.00-$303,140.00

• Salary range dependent on a number of factors including location and experience
  
  

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.