GPU compute performance engineer

1 Hour ago • 2-3 Years

Job Summary

Job Description

As a GPU compute performance engineer, you will be responsible for analyzing AI workloads and debugging performance issues to optimize hardware and software solutions. You will evaluate AI-GPU architecture and influence the product roadmap. This role involves developing optimized GPU kernels and software stacks, collaborating with partner teams, and providing solutions for both pre- and post-silicon activities. You will also collaborate with experts to analyze next-generation requirements and guide research and academic partnerships. The role requires strong collaboration skills and an ability to thrive in a fast-paced development environment. The role offers an opportunity to grow into a performance architect position.
Must have:
  • MS in Computer Engineering, Computer Science, Electrical Engineering, or Mathematics.
  • 2-3 years of experience in GPU/CPU architecture for AI workloads.
  • Proficient in Python, C/C++. Good data analysis and presentation skills.
Good to have:
  • Knowledge of AI and deep learning, including Large Language Models (LLM) and Stable Diffusion.
  • Experience in performance analysis/performance debugging.
  • Experience in building analytical and/or simulation-based performance models.
  • Knowledge/experience in CPU, GPU, or memory design/architecture, and/or microarchitecture/RTL/design/process technologies.
  • An aptitude to learn new things quickly in this fast-changing domain.

Job Details

Job Details:

Job Description: 

We are an AI-GPU architecture team at Intel, dedicated to leveraging insights from AI workloads to shape future Intel GPU design decisions. We are looking for passionate individuals to help define and build the next generation of highly efficient GPU architectures for AI. This role offers the opportunity to grow into a performance architect position, contributing to both hardware and software innovations.

Responsibilities:

  • Conduct workload analysis and performance debugging to identify bottlenecks and drive resolution through hardware and/or software fixes.
  • Evaluate AI-GPU hardware architecture and influence the product roadmap through a deep understanding of AI algorithms, customer needs, and software frameworks.
  • Develop and enhance internal performance analysis tools.
  • Develop highly optimized GPU kernels and software stacks, collaborating with partner teams to deliver high-performance solutions.
  • Provide a comprehensive view of solutions and support both pre- and post-silicon activities.
  • Collaborate with experts to analyse next-generation requirements and guide research and academic partnerships.

Qualifications:

Minimum Qualifications:

  • MS in Computer Engineering, Computer Science, Electrical Engineering, or Mathematics.
  • 2-3 years of experience in GPU/CPU architecture for AI workloads.
  • Proficient in Python, C/C++.Good data analysis and presentation skills.



Preferred Qualifications:

  • Knowledge of AI and deep learning, including Large Language Models (LLM) and Stable Diffusion.
  • Experience in performance analysis/performance debugging.
  • Experience in building analytical and/or simulation-based performance models.
  • Knowledge/experience in CPU, GPU, or memory design/architecture, and/or microarchitecture/RTL/design/process technologies.
  • An aptitude to learn new things quickly in this fast-changing domain and flexibility to work on any mix of the above roles as needed.


This role is ideal for candidates who are eager to learn about AI hardware, possess strong collaboration skills, and can thrive in a fast-paced hardware/software development environment. Requirements listed would be obtained through a combination of industry-relevant job experience, internship experiences, and/or schoolwork/classes/research.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Ireland)

Primary Location: 

Ireland, Leixlip

Additional Locations:

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.

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.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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