Advanced Micro Devices, Inc

Principal AI Cluster Performance Validation Engineer

Advanced Micro Devices, Inc$150K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in GPU cluster performance optimization
  • Strong background in RDMA network configuration and troubleshooting
  • Proficiency in parallel computing concepts and GPU architectures
  • Experience in performance analysis tools and methodologies
  • Scripting skills in languages like Python or Bash for automation
  • Solid problem-solving and debugging abilities
  • Familiarity with cluster management systems

Responsibilities

  • Conduct scalability testing on GPU clusters under varied workloads
  • Develop benchmarking strategies to analyze performance and pinpoint bottlenecks
  • Collaborate with teams to enhance GPU cluster performance focusing on network optimization
  • Utilize profiling tools to analyze performance and suggest improvements
  • Implement optimization techniques for load balancing and parallel processing
  • Document performance analysis and tuning efforts with clear reports
  • Engage with cross-functional teams to integrate performance enhancements

Benefits

  • Comprehensive AMD benefits package
  • Focus on continuous career development
  • Dynamic and innovative team environment
  • Flexible working locations in major tech hubs
Full Job Description
THE ROLE:

We are seeking a highly motivated and skilled Principal AI Cluster Performance Validation Engineer to join our dynamic team. In this role, you will be at the forefront of optimizing and achieving peak performance for GPU clusters. The focus of this role is the RDMA networks used in AI Clusters, understanding data flows between GPU, NIC and cluster network. The ideal candidate will have a strong background in GPU architectures, parallel clustered computing, and hands-on experience in system level performance tuning and debug methodologies.

THE PERSON:

The team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. A seasoned professional who enjoys hands-on problem-solving. In this role, you'll shape long-term strategy, drive feature enablement and jump in to tackle challenges head-on. You'll have a direct impact on performance, automation, and validation, while staying ahead of industry trends to provide strategic insights to senior management. The person should be experienced in debugging complex HW/FW and clustered configurations.

KEY RESPONSIBILITIES:
  • Scalability Testing: Evaluate the scalability of GPU clusters by conducting thorough testing under various workloads, ensuring optimal performance across different cluster sizes, configurations, and networking technologies (RoCE)
  • Benchmarking and Analysis: Develop and execute comprehensive benchmarking strategies to assess baseline performance, analyze bottlenecks, and identify areas for improvement within GPU cluster environments.
  • Cluster Network & Performance Optimization: Collaborate with hardware and software teams to enhance the overall performance of GPU clusters, focusing on aspects such as RDMA throughput, RoCE v2 network congestion, latency, and collective communications.
  • Performance Profiling: Utilize profiling tools and methodologies to analyze and identify performance bottlenecks, providing actionable insights for improvement.
  • Performance Tuning: Implement optimization strategies, including but not limited to protocol enhancements, load balancing techniques, and parallel processing optimizations.
  • Documentation: Create detailed documentation of performance analysis, tuning efforts, and outcomes, providing clear and concise reports for internal teams and stakeholders.
  • Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and system architects, to integrate performance improvements into the GPU cluster architecture.
  • Continuous Learning: Stay current with the latest developments in GPU architectures, parallel processing, and emerging technologies to drive continuous improvement in GPU cluster performance.

PREFERRED EXPERIENCE:
  • Proven experience in optimizing the performance of GPU clusters.
  • RDMA network configuration, troubleshooting and performance tuning.
  • Strong understanding of GPU architectures, parallel computing concepts, and network protocols.
  • Proficiency in scripting languages (e.g., Python, Bash) for automation and performance analysis.
  • Experience with system level performance analysis tools and methodologies for GPU clusters.
  • Analytical mindset with excellent problem-solving and debug skills.
  • Familiarity with cluster management tools and systems.
  • Excellent communication and collaboration skills for effective teamwork.
  • Linux kernel networking expertise
  • Machine learning and/or HPC system design

ACADEMIC CREDENTIALS:
  • Bachelors or Master's degree in computer science or electrical engineering

LOCATION:
  • Austin TX, Seattle WA, Santa Clara CA or Secaucus NJ


This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

Advanced Micro Devices, Inc. Careers

Join the innovative forefront of technology with a career at Advanced Micro Devices, Inc. (AMD), a leader in semiconductor development. As part of our global team, you will contribute to an organization renowned for its dedication to innovation, leadership, and diversity in the tech industry.

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Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

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AMD is committed to the development of its employees. We offer robust training programs, including leadership development and diversity training, to ensure our team is equipped for both current challenges and future opportunities. Our benefits package is designed to support the well-being and financial security of our employees and their families.

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ

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