A

AMD

Designs chips for computers and AI systems

Cores Verification Lead

DevOps EngineeringUpdated on Nov 10
Full-timeOntario, CanadaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in a related field such as Computer Science or Electrical Engineering.
  • Some industry experience is desired.
  • Demonstrated expertise in build systems, build orchestration, and large-scale software or silicon development environments.
  • Experience designing and operating distributed or hyperscale build infrastructure.
  • A proven track record improving build performance, reducing turnaround time, and increasing engineering productivity at scale.
  • Experience with compute farm scheduling technologies such as LSF or similar workload management platforms.
  • A strong understanding of build caching, artifact management, dependency optimization, and build reproducibility techniques.
  • Experience supporting semiconductor design workflows, EDA environments, or chip development programs.
  • Demonstrated ability to lead complex infrastructure transformation initiatives across multiple engineering organizations.
  • Experience driving automation, continuous integration and continuous delivery, and infrastructure scalability in high-performance engineering environments.

Responsibilities

  • Lead the design, development, and optimization of scalable build infrastructure to significantly reduce model build turnaround times and improve engineering productivity.
  • Drive organization-wide build system modernization initiatives to support Zen8, Zen9, and future CPU core development programs.
  • Improve compute resource utilization and LSF farm efficiency through build caching, artifact reuse, and elimination of redundant build processes.
  • Architect and implement hyperscale build solutions that enhance performance, reliability, and scalability across AMD silicon design environments.
  • Provide technical leadership and subject-matter expertise for transitioning from legacy build systems to next-generation build architectures.
  • Partner with silicon design, CAD, infrastructure, and software engineering teams to define and execute long-term build and automation strategies.
  • Establish best practices, standards, and roadmaps for build infrastructure, continuous integration, and large-scale engineering workflows.
  • Maintain and improve existing functional verification methodology and infrastructure, and work on related projects or assignments to meet team goals.
  • Perform project definition, training, and documentation.
  • Work with architects and TG/PG RTL/designers and develop effective working relationships with involved parties.

Desired Qualifications

  • Experience with build systems, build orchestration, and large-scale software or silicon development environments is preferred.
  • Experience designing and operating distributed or hyperscale build infrastructure is preferred.
  • A proven track record improving build performance, reducing turnaround time, and increasing engineering productivity at scale is preferred.
  • Experience with LSF or similar workload management platforms is preferred.
  • A strong understanding of build caching, artifact management, dependency optimization, and build reproducibility techniques is preferred.
  • Experience supporting semiconductor design workflows, EDA environments, or chip development programs is preferred.
  • The ability to lead complex infrastructure transformation initiatives across multiple engineering organizations is preferred.
  • The ability to influence technical direction across cross-functional teams is preferred.
  • Experience driving automation, continuous integration and continuous delivery, and infrastructure scalability in high-performance engineering environments is preferred.

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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