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Software Engineer - AI Inference Integration and Optimization

Summary by AIEngineer.careers

Software Engineer - AI Inference Integration and Optimization is a AI Inference Engineer role (full-time). with Advanced Micro Devices, Inc. in AUSTIN, US. Compensation shown: $145K–$217K. Imported listing (source: justjobs.com). Apply on the employer's site (justjobs.com).

Imported listing (source: justjobs.com) · Apply on justjobs.com

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AUSTIN · US
$145K–$217K
Full-time
MID
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from justjobs.com

AMD's CG-AIM team is hiring a software engineer to develop, integrate, and optimize AI inference software for AMD platforms. The role focuses on debugging functional and performance issues, optimizing workloads for latency, throughput, and memory efficiency, and building automated tests and benchmarks. It is based on-site in Austin, TX or Markham, Ontario, and is not eligible for visa sponsorship.

Responsibilities

  • Develop and integrate AI inference software for AMD platforms
  • Debug functional and performance issues
  • Optimize workloads for latency, throughput, and memory efficiency
  • Build automated tests and performance benchmarks

Requirements

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Strong C/C++ and Python programming skills
  • Familiarity with AI frameworks and inference runtimes
  • Experience with software profiling, testing, and debugging

Nice to Have

  • Exposure to PyTorch
  • Experience with ONNX Runtime
  • Experience with ROCm or HIP
  • GPU programming experience

Tech Stack

C++GPU ProgrammingHIPONNX RuntimePythonPyTorchROCm
Advanced Micro Devices, Inc.

Advanced Micro Devices, Inc.

Santa Clara · US · 31000+ employees

Advanced Micro Devices, Inc. (AMD) is a semiconductor and high-performance computing company developing products for data centers, artificial intelligence, PCs, gaming, and embedded and adaptive computing. Its portfolio includes CPUs, GPUs, accelerators, networking products, adaptive SoCs and FPGAs, and related software.

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