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AMD

Designs chips for computers and AI systems

Principal Staff Post-Silicon Performance Engineer – Technical Lead

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBayan Lepas, Penang, MalaysiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Responsibilities

  • Define and lead performance-characterization strategies for AMD Data Center products, spanning high-performance computing and machine-learning 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 and Infinity Fabric; collective communication efficiency and communication–compute overlap; strong- and weak-scaling behavior; and rack- and cluster-level bottleneck identification and mitigation.
  • Analyze interactions among power-management features, thermal behavior, and performance, and 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, communicating findings, tradeoffs, and recommendations to engineering stakeholders.
  • Mentor engineers and raise the technical quality and consistency of post-silicon performance methodologies, tools, and workflows.

Desired Qualifications

  • 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 machine-learning 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 high-performance computing and machine-learning 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 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, with the ability to explain complex technical findings and influence engineering decisions.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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