Advanced Micro Devices, Inc

Data Center GPU Performance Attainment Lead

Advanced Micro Devices, Inc$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
  • 5+ years of experience in performance characterization and optimization of datacenter products.
  • Strong programming skills in Python, C/C++, and scripting (Shell).
  • Proficiency in ML frameworks like TensorFlow or PyTorch.
  • Deep knowledge of HPC and ML workload analysis, including scaling behaviors.

Responsibilities

  • Develop and maintain automation frameworks for workload execution and performance data collection.
  • Drive power and performance definition processes to ensure architectural alignment.
  • Create and manage performance characterization and optimization test plans for diverse scenarios.
  • Analyze multi-node configurations for performance scaling and identify system-level bottlenecks.
  • Optimize power management features for improved performance and efficiency.
  • Engage in prototyping to evaluate enhancements impacting performance.
  • Troubleshoot system-level issues across hardware, firmware, and software domains.

Benefits

  • Comprehensive health and wellness plans.
  • Generous paid time off and holidays.
  • 401(k) retirement plan with company match.
  • Employee assistance programs and mental health support.
  • Learning and development opportunities.
Full Job Description
THE ROLE:

The successful candidate will assume responsibility for post-silicon activities related to performance characterization and optimization of AMD Datacenter products, spanning both single-node and multi-node deployments.

THE PERSON:

You have a passion for computer architecture, along with strong knowledge of HPC and ML workloads. You are a team player with excellent communication skills and experience collaborating with engineers across multiple sites and time zones. You are a quick learner, self-starter, and able to drive multiple complex tasks to completion.

KEY RESPONSIBILITIES:
  • Develop and maintain automation frameworks for workload execution and performance data collection, enabling scalable and repeatable characterization across configurations.
  • Become a key stakeholder in the product power and performance definition process, ensuring alignment between architectural goals and measured silicon performance.
  • Develop, execute, and evolve performance characterization and optimization test plans across diverse usage scenarios, including High Performance Computing (HPC) and Machine Learning (ML) workloads.
  • Drive performance attainment for both scale-up (intra-node) and scale-out (multi-node) configurations, including:
    • Multi-GPU scaling efficiency within a node
    • Interconnect bandwidth utilization (e.g., XGMI / Infinity Fabric)
    • Collective communication efficiency and communication-compute overlap
    • Workload scaling behavior (strong and weak scaling)
    • Identification and mitigation of system-level bottlenecks across distributed environments
  • Analyze interactions between power management features and performance behavior, optimizing configurations to achieve the best performance and performance-per-watt tradeoffs.
  • Identify architectural and system-level bottlenecks and develop strategies to stress, expose, and mitigate worst-case performance scenarios.
  • Support prototyping and experimentation efforts to evaluate enhancements and new features that impact performance.
  • Debug and troubleshoot system-level issues across hardware, firmware, and software stacks observed in lab and production test environments.
  • Collaborate with cross-functional teams (architecture, firmware, drivers, platform, and workload teams) to drive root-cause analysis through to resolution and performance closure.
  • Proactively drive continuous improvement of post-silicon performance methodologies, tools, and workflows.


PREFERRED EXPERIENCE:
  • Proven leadership skills with experience mentoring junior engineers, coordinating cross-functional teams, and driving complex performance characterization and optimization efforts across multiple locations.
  • Strong programming skills, with preference for Python and experience with ML frameworks (e.g., TensorFlow or PyTorch).
  • Proficiency in C/C++, scripting (Shell), and familiarity with performance tooling and automation workflows.
  • Strong understanding of computer architecture and system organization.
  • Deep knowledge of HPC and ML workloads, including scaling behavior and performance bottlenecks.
  • Experience with scale-up and scale-out performance analysis at rack-level and cluster-level deployments
  • Strong analytical and problem-solving skills, with a high level of attention to detail.
  • Excellent interpersonal, collaboration, and communication skills.

ACADEMIC CREDENTIALS:
  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.


LOCATION:

Austin, TX

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

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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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