GPU Performance Modeling Lead
Location: Santa Clara, California, US
Company: Advanced Micro Devices
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GPU Performance Modeling Lead
AMD is firing on all cylinders on our exciting GPU roadmap based on the RDNA and CDNA Architectures. A key need for building these best-in-class Gaming and Compute SoCs is to develop high-level performance models that are light weight, yet flexible and accurate. These models directly impact the SoC PPA definition and roadmap.
The Role
The Radeon Power and Performance Group is looking for a versatile architect to lead the development of our unique bottleneck based performance model for gaming and compute GPUs. The successful candidate will technically lead and manage a small team. The team is responsible for model design based on an understanding of the GPU architecture, and performance data gathered by running application traces on silicon, correlating the model with silicon, fine tuning it for different SoC configurations, doing release regressions and building and maintaining the infrastructure necessary for these functions.
The Person
You have a passion for GPU architecture. You have a keen ability to analyze complex hardware and software features, distill them down to the essential elements and understand how they interact with one another. You really care about performance. You think modeling complex systems is fun. You enjoy leading teams, mentoring, and coaching other engineers, and helping them advance in their careers. You are driven to improve yourself, your team and your product continuously. If you are all these, you will fit right in in this role, and in the AMD culture of collaboration and excellence.
Key Responsibilities
- Deliver performance models for each generation of RDNA and CDNA GPUs, while meeting user expectations of features, workload support, accuracy and schedules
- Manage a small, multi-site team focused on developing this modeling tool
- Be the technical expert and point of contact for all aspects of the tool
- Drive the roadmap for the tool based on strategic needs and knowledge of future graphics architecture features
- Establish and improve modeling methodologies and tool development best-practices
- Engage with the users of the tool, educate them on capabilities and elicit feedback
- Engage with the lab partners who provide data collection services
- Engage with graphics and SoC architects and drive improvements in the Radeon GPU performance
Key Qualifications
- 7-9 years of experience in GPU Architecture, Modeling or Performance analysis
- Strong C/C++, C#, Python coding skills
- Experience managing small teams
- Knowledge of gaming and compute workloads, benchmarks, performance tracing, bottleneck analysis
- Hands-on experience analyzing and tracing various GPU benchmarks will be valuable
- Background in data engineering or statistical modeling is a plus
- Knowledge of GPU drivers and compute platforms like ROCm or CUDA is a plus
- Excellent leadership and communication skills
Education
MS/PhD in CS, EE or equivalent
Locations: Austin, TX, Santa Clara, CA (Preferred), Markham, Ontario, Canada or other US locations will be considered
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- AMD is a government contractor and subcontractor. As required by Executive Order, our US employees are required to be fully vaccinated against COVID-19 regardless of the employee’s work location or work arrangement (e.g., telework, remote work, etc.), subject to such exceptions as required by law. If selected, you will be required to be vaccinated against COVID-19 and submit documentation of proof of vaccination by January 4, 2022. AMD will provide additional information regarding what information or documentation will be needed and how you can request an exception from this requirement if you have a need for a religious and/or medical accommodation.
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Requisition Number: 126642
Country: United States State: California City: Santa Clara
Job Function: Design
AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.
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