GPU Performance Architect

AMD
Austin
Workplace: OnsiteFull timeUSD 156,100 - 267,600 annuallyFunction: Software EngineeringSkills: ["Collaboration","Analytical thinking","Problem-solving","Communication","Presentation"]

Drive GPU hardware performance innovation by analyzing workload and competitive performance for game/AI/ML applications. You’ll identify complex technical bottlenecks across graphics cores and SoCs, evaluate graphics/compute paradigms, and implement simulation models (RTL and high-level) to estimate gains. Propose PPA improvements, improve RTG analysis tools, and collaborate with engineers and managers across multiple sites to advance real-world performance outcomes.

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FursaFursa
AMD
AMD
1 day ago

GPU Performance Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 minutes agoStatus: Live

Job Summary

Drive GPU hardware performance innovation by analyzing workload and competitive performance for game/AI/ML applications. You’ll identify complex technical bottlenecks across graphics cores and SoCs, evaluate graphics/compute paradigms, and implement simulation models (RTL and high-level) to estimate gains. Propose PPA improvements, improve RTG analysis tools, and collaborate with engineers and managers across multiple sites to advance real-world performance outcomes.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Perform workload and competitive analysis for contemporary and futuristic game/AI/ML applications.
  • •Break down complex technical problems, summarize solution options, and help the team progress.
  • •Partner with architects to understand bottlenecks in graphics cores and SoCs.
  • •Analyze existing and emerging graphics/compute paradigms and algorithms.
  • •Implement and run simulation models (RTL and high-level) and propose PPA and RTG analysis tool improvements.

Pay and Benefits

Salary: USD 156,100 - 267,600 annually

Key Requirements

  • •Experience across performance analysis, AI/ML/graphics/compute algorithms, and architecture work.
  • •Experience developing kernels for LLMs using PyTorch, Triton, CUDA, and/or HIP.
  • •Strong C/C++ and scripting (Python) skills.
  • •Knowledge of graphics/compute APIs such as DirectX, Vulkan, CUDA, or HIP.
  • •Familiarity with GPU architecture, compilers, and profiling tools (e.g., PIX, RenderDoc, AMD tools).
Experience:AI/MLGraphics/computeLLM kernelsGPU architecture
Skills:CollaborationAnalytical thinkingProblem-solvingCommunicationPresentation
Tech Stack:PyTorchTritonCUDAHIPCC++PythonDirectXVulkanOpenGL

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
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