GPU Performance Architect

AMD
Santa Clara
Workplace: HybridFull timeUSD 124,040 - 212,640 annuallyFunction: Hardware, Embedded & Systems EngineeringEducation: bachelorsSkills: ["Collaboration","Mentoring","Analytical thinking","Problem-solving","Communication"]

Design and evaluate GPU performance for contemporary and next-generation game and AI/ML workloads. You’ll analyze bottlenecks across graphics cores and SoCs, assess emerging graphics/compute paradigms, and implement RTL and high-level simulation models to estimate PPA improvements. Partner with architects, engineers, and managers across multiple sites to drive RTG analysis tools and propose innovative solutions that improve performance.

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FursaFursa
AMD
AMD
2 days ago

GPU Performance Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Design and evaluate GPU performance for contemporary and next-generation game and AI/ML workloads. You’ll analyze bottlenecks across graphics cores and SoCs, assess emerging graphics/compute paradigms, and implement RTL and high-level simulation models to estimate PPA improvements. Partner with architects, engineers, and managers across multiple sites to drive RTG analysis tools and propose innovative solutions that improve performance.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Mid level

Key Responsibilities

  • •Perform workload/competitive analysis for contemporary and futuristic game, AI, and ML applications.
  • •Identify complex technical problems, break them down, evaluate possible solutions, and help the team make progress.
  • •Work with architects to understand bottlenecks in graphics cores and SoCs.
  • •Analyze emerging graphics/compute paradigms and algorithms, and implement/run simulation models to estimate potential gains.
  • •Propose PPA improvement solutions, drive RTG analysis tool initiatives, and collaborate with engineers and managers across multiple sites.

Pay and Benefits

Salary: USD 124,040 - 212,640 annually

Key Requirements

  • •Experience spanning architecture, performance analysis, and AI/ML/graphics/compute algorithms.
  • •Kernel development experience for LLMs using PyTorch, Triton, CUDA, and HIP (or similar).
  • •Strong C/C++ and scripting (Python) experience.
  • •Knowledge of Graphics/Compute APIs such as DirectX, Vulkan, CUDA, or HIP.
  • •Undergrad degree required; Bachelor of Science preferred with emphasis in Electrical Engineering, Computer architecture, or Computer Science.
Experience:AI/MLGraphicsComputeLLMGPU architecture
Education:Bachelor's in Electrical Engineering, Computer architecture, or Computer Science
Skills:CollaborationMentoringAnalytical thinkingProblem-solvingCommunication
Languages:English
Tech Stack:CC++PythonPyTorchTritonCUDAHIPDirectXVulkanRTLHigh-level simulation

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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