Principal Datacenter GPU Performance Architect

AMD
Austin
Workplace: OnsiteFull timeUSD 185,500 - 318,000 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Communication","Problem-solving"]

Lead performance engineering efforts for next-generation AI model and agentic workload systems, collaborating with architecture specialists to improve future AMD products. Apply a data-driven approach to identify and optimize platform, rack-level, and multi-node bottlenecks, while designing and developing new AMD technologies. Debug and fix complex system-level issues, support ASIC and hardware bring-ups, and use C/C++ and modern concurrent programming practices to deliver measurable performance gains.

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FursaFursa
AMD
AMD
1 day ago

Principal Datacenter GPU Performance Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead performance engineering efforts for next-generation AI model and agentic workload systems, collaborating with architecture specialists to improve future AMD products. Apply a data-driven approach to identify and optimize platform, rack-level, and multi-node bottlenecks, while designing and developing new AMD technologies. Debug and fix complex system-level issues, support ASIC and hardware bring-ups, and use C/C++ and modern concurrent programming practices to deliver measurable performance gains.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Work with AMD architecture specialists to improve future products.
  • •Use a data-minded approach to target optimization efforts for performance bottlenecks.
  • •Stay current on software and hardware trends, especially related to algorithms and architecture.
  • •Design and develop new AMD technologies and participate in new ASIC and hardware bring-ups.
  • •Debug and fix existing issues while researching alternative, more efficient implementations.

Pay and Benefits

Salary: USD 185,500 - 318,000 annually

Key Requirements

  • •Extensive low-level GPU performance optimization experience.
  • •Hands-on debugging of complex system-level software bottlenecks, including multi-node communication performance issues.
  • •Strong object-oriented programming background, with C/C++ preferred.
  • •Experience with modern concurrent programming and threading APIs.
  • •Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Experience:AIHigh-performance computingGPU performanceSupercomputingAgentic workloads
Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering
Skills:CommunicationProblem-solving
Languages:En-us
Tech Stack:CC++GitHub

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn