Exascale HPC & AI System Performance Lead

AMD

Austin (TX)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

AMD is seeking a computational science leader to guide a highly educated team in delivering high-quality HPC and AI applications for AMD GPU products. You will work hands-on, interact with customers and partners, and coordinate across AMD and external teams to shape solutions for AI and data-center workloads.

The role requires a PhD or equivalent, strong leadership, and proven experience managing distributed teams, with a track record in HPC and AI software stacks.

Qualifications

  • PhD or equivalent in CS/EE or related computing domains.
  • Proven track record leading software teams.
  • Experience with HPC and AI software stacks.
  • Experience with Jira or similar PM tools in Agile.
  • Ability to interact with customers and partners.
  • Excellent written and verbal communication, including exec presentations.

Responsibilities

  • Lead and manage a team of scientific domain experts to adapt HPC/AI apps for AMD hardware.
  • Lead full system performance attainment for Exascale-class customers.
  • Coordinate technical content for customer RFPs and business proposals.
  • Drive the delivery of Exascale ready applications to AMD units and customers.
  • Manage internal HPC system admins to support the team’s work.
  • Interact with stakeholders to establish program requirements and schedules.
  • Work with other AMD teams to improve AMD development software products.

Skills

Team management
HPC AI stacks
Executive communication
Distributed teams
Customer interaction
JIRA experience
Export control

Education

PhD or equivalent

Tools

JIRA

Job description

AMD is seeking a computational science leader to guide a highly educated team in delivering high-quality HPC and AI applications for AMD GPU products. You will work hands-on, interact with customers and partners, and coordinate across AMD and external teams to shape solutions for AI and data-center workloads.

The role requires a PhD or equivalent, strong leadership, and proven experience managing distributed teams, with a track record in HPC and AI software stacks.

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