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Data Center GPU Attainment Lead

Job in Austin, Travis County, Texas, 78716, USA
Listing for: AMD
Full Time position
Listed on 2026-09-02
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer, Test Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Data Center GPU Performance Attainment Lead

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture.

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

Together, we advance your career.

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.

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture.

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

Together, we advance your career.

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…
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