GPU Performance Engineer – AI Kernels

AMD
Helsinki
Workplace: HybridFull timeEUR 57,750 - 82,500 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Technical leadership","Communication","Collaboration","Debugging","Performance analysis"]

Work on performance optimization for key AI workloads and benchmarks on AMD GPUs. You’ll improve machine learning kernels for performance and power efficiency, design and develop innovative GPU/ML technologies, and debug issues while researching more efficient alternatives. The role also focuses on strengthening development workflows and CI infrastructure, staying current on GPU architecture and ML trends, and collaborating with internal teams and external partners.

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FursaFursa
AMD
AMD
15 hours ago

GPU Performance Engineer – AI Kernels

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Work on performance optimization for key AI workloads and benchmarks on AMD GPUs. You’ll improve machine learning kernels for performance and power efficiency, design and develop innovative GPU/ML technologies, and debug issues while researching more efficient alternatives. The role also focuses on strengthening development workflows and CI infrastructure, staying current on GPU architecture and ML trends, and collaborating with internal teams and external partners.
Location: Helsinki
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Continuously identify and implement improvements to machine learning kernels for AMD GPUs focused on performance and power efficiency.
  • •Stay current on software and hardware trends, including GPU architecture and machine learning algorithms.
  • •Improve development workflows and CI infrastructure to enable faster and more reliable delivery.
  • •Design and develop innovative GPU and machine learning technologies.
  • •Debug and resolve existing issues while researching and implementing more efficient alternatives.

Pay and Benefits

Salary: EUR 57,750 - 82,500 annually

Key Requirements

  • •3+ years of GPU software development using HIP, CUDA, or OpenCL.
  • •5+ years of system-level programming experience in C++ (C++17 or later preferred).
  • •Strong understanding of modern GPU architectures.
  • •Experience with GPU profiling, debugging, benchmarking, and performance analysis tools.
  • •Bachelor’s or Master’s degree in Computer Science/Engineering (or equivalent practical experience).
Experience:3+ yearsGPU softwareHPCAIMachine learning
Education:
Skills:Technical leadershipCommunicationCollaborationDebuggingPerformance analysis
Languages:English
Tech Stack:HIPCUDAOpenCLC++C++17PyTorchMIOpenTritonCUTLASSGPU profilingCI infrastructureHPC

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