Principal Staff Post-Silicon Performance Engineer (Technical Lead)

AMD; Penang; On-site; MYR 240,000 - 360,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

AMD is seeking a senior technical leader in Penang to shape post-silicon performance characterization for Data Center products across single-node to rack-scale deployments. You will set technical direction, mentor engineers, and drive optimization across hardware, firmware, drivers, and platforms.

You will lead cross-team efforts to design experiments, improve power and performance efficiency, and translate silicon behavior into validated product outcomes for HPC and ML workloads.

Qualifications

• Bachelor’s or master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Responsibilities

• Define performance-characterization strategies for AMD Data Center products, spanning HPC and ML workloads and single-node through multi-node deployments.
• Establish scalable, repeatable workload-execution and performance-data-collection frameworks.
• Influence product power, thermal, and performance definition by connecting architectural goals to measured silicon and system behavior.
• Lead the development and evolution of characterization and optimization test plans across diverse usage scenarios.
• Drive performance attainment across scale-up and scale-out configurations, including:
• Multi-GPU scaling efficiency within a node
• Interconnect bandwidth utilization, including XGMI / Infinity Fabric
• Collective communication efficiency and communication–compute overlap
• Strong- and weak-scaling behavior
• Rack- and cluster-level bottleneck identification and mitigation.
• Analyze interactions among power-management features, thermal behavior, and performance; develop configurations that balance throughput and performance-per-watt.
• Identify architectural and system-level bottlenecks, and design experiments that expose and help mitigate worst-case performance scenarios.
• Lead prototyping and experimentation to evaluate architectural, firmware, driver, and platform enhancements.
• Drive complex root-cause investigations across hardware, firmware, drivers, platform, and workload stacks through to resolution and performance closure.
• Serve as a technical authority across teams; communicate findings, tradeoffs, and recommendations to engineering stakeholders.
• Mentor engineers and raise the technical quality and consistency of post-silicon performance methodologies, tools, and workflows.

Skills

Technical leadership

Python

C/C++

Shell scripting

GPU architecture

Performance analysis

ML frameworks

TensorFlow

PyTorch

Cross-functional

Education

Bachelor’s or Master’s in Computer Engineering/ Electrical Engineering/ Computer Science

Tools

CUDA

TensorFlow

PyTorch

Linux

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next‑gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

The Role

As a senior technical leader, you will shape post-silicon performance characterization and optimization for AMD Data Center products across single‑node, multi‑node, and rack‑scale deployments. You will set technical direction for complex performance investigations, connect silicon behavior to system‑level outcomes, and drive improvements across hardware, firmware, drivers, platforms, and workloads. This is an individual‑contributor role with broad technical influence. You will partner across organizations and sites, mentor engineers, and help translate performance objectives into validated product results.

Key Responsibilities

• Define and lead performance-characterization strategies for AMD Data Center products, spanning HPC and ML workloads and single-node through multi-node deployments.
• Establish scalable, repeatable workload-execution and performance-data-collection frameworks.
• Influence product power, thermal, and performance definition by connecting architectural goals to measured silicon and system behavior.
• Lead the development and evolution of characterization and optimization test plans across diverse usage scenarios.
• Drive performance attainment across scale-up and scale-out configurations, including:
• Multi-GPU scaling efficiency within a node
• Interconnect bandwidth utilization, including XGMI / Infinity Fabric
• Collective communication efficiency and communication–compute overlap
• Strong- and weak-scaling behavior
• Rack- and cluster-level bottleneck identification and mitigation
• Analyze interactions among power-management features, thermal behavior, and performance; develop configurations that balance throughput and performance-per-watt.
• Identify architectural and system-level bottlenecks, and design experiments that expose and help mitigate worst-case performance scenarios.
• Lead prototyping and experimentation to evaluate architectural, firmware, driver, and platform enhancements.
• Drive complex root-cause investigations across hardware, firmware, drivers, platform, and workload stacks through to resolution and performance closure.
• Serve as a technical authority across teams; communicate findings, tradeoffs, and recommendations to engineering stakeholders.
• Mentor engineers and raise the technical quality and consistency of post-silicon performance methodologies, tools, and workflows.

Preferred Experience

• Demonstrated technical leadership on complex, cross-functional engineering programs, including influence across organizations, locations, and time zones.
• Strong programming skills, preferably in Python; experience with ML frameworks such as TensorFlow or PyTorch is an advantage.
• Proficiency in C/C++ and shell scripting, with experience in performance tooling and automation.
• Deep understanding of computer architecture, GPU system organization, and performance analysis.
• Extensive knowledge of HPC and ML workloads, including scaling behavior, collective communications, and performance bottlenecks.
• Experience analyzing scale-up and scale-out performance at rack or cluster level.
• Familiarity with high-speed I/O (HSIO) performance, such as PCIe, is a plus.
• Strong analytical judgment and problem‑solving skills, with a record of turning ambiguous performance symptoms into evidence‑based conclusions and actionable fixes.
• Excellent written and verbal communication skills; able to explain complex technical findings and influence engineering decisions.

Academic Credentials

• Bachelor’s or master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

LOCATION

Penang, Malaysia

Benefits offered are described: AMD benefits at a glance.

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to 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, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.