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AI Performance Engineer

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Devire

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Location:
Poland , Warszawa

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

40000.00 - 50000.00 PLN / Month
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Job Description:

As a member of the Computing Product Line, Heterogeneous Memory Software Lab, you will engage in the research, design, and implementation of software components that enable tiered memory usage within end-to-end solutions. Your work will focus on advancing the AI ecosystem by designing and implementing libraries that leverage the capabilities of new Ascend AI hardware. You will contribute to extending compiler infrastructure to support Triton on hardware, enabling high- performance kernel generation for AI workloads. You will also research new memory management techniques to optimize performance and efficiency. Collaborating closely with research teams across the company, you will drive innovation behind cutting-edge AI solutions.

Job Responsibility:

  • Lead performance optimization of AI models on Ascend NPUs, including performance analysis, bottleneck identification, and optimization implementation for both training and inference workloads
  • Analyze performance bottlenecks of multimodal models and large language models (LLMs) on the Ascend platform, covering operators, kernels, memory access patterns, and scheduling
  • design and implement optimization strategies
  • Develop and optimize critical operators/kernels, continuously improving execution efficiency, memory access patterns, parallelization strategies, and hardware resource utilization
  • Research and apply advanced techniques such as auto-tuning, operator fusion, graph optimization, and scheduling optimization in real-world production scenarios
  • Build and lead an NPU performance optimization team
  • communicate findings to cross-functional teams and leadership, and contribute to the evolution of next-generation Ascend NPU architecture

Requirements:

  • Deep understanding of GPU or NPU architecture, including execution units, memory hierarchy, interconnects, and thread scheduling, as well as performance bottleneck analysis methodologies
  • Familiarity with mainstream deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Hands-on experience in deep learning operator/kernel development and performance tuning, with the ability to implement and optimize complex operators
  • Proficiency with performance analysis and profiling tools (e.g., Nsight Compute, nvprof, torch.profiler), and ability to conduct quantitative analysis and performance modeling
  • Strong system design and software engineering skills, with the ability to balance performance, maintainability, and generality in complex systems
  • Master’s or Ph.D. degree in Computer Architecture, Compiler Design, High Performance Computing, or a related field
What we offer:
  • Private healthcare package
  • Sport Cards
  • Benefit Platform
  • Special discounts for employees
  • Office massages
  • annual bonus

Additional Information:

Job Posted:
April 10, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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