✦ Luna Orbit — AI & Machine Learning

AI Software Application Engineer

at Advanced Micro Devices

📍 Pennsylvania, United States Unknown Posted March 14, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Bachelor's in Computer Science or related field
Category AI & Machine Learning

This role involves developing and optimizing AI software solutions for AMD's data center GPUs, focusing on performance, scalability, and integration with hardware.

  • Design and develop AI/ML solutions
  • Collaborate on performance optimization
  • Integrate hardware acceleration
  • Contribute to open-source repositories
  • Support AMD's AI product roadmap

The environment includes C++, GPU programming, AI frameworks, open-source tools, and hardware acceleration for data center GPU applications.

The ideal candidate is a mid-level AI/ML software engineer with strong C++ and GPU programming skills, experienced in developing scalable, production-ready AI solutions, and familiar with open-source contributions and hardware acceleration.

C++GPU programmingMachine LearningCI/CDdeveloping production software
Open-source contributionModel fine-tuningHardware deploymentPerformance optimization
GithubAI frameworksHardware systems
C++GPU programmingMachine LearningCI/CDopen-sourcehardware accelerationscalable solutionsAI frameworks
C++C++ and GPU programmingGPU programmingMachine LearningML frameworksCI/CDOpen-source developmentReference solution developmentAI/ML solutionsHardware acceleration
collaborativeanalyticalcommunicationproblem-solvingteamwork
Industry Technology
Job Function Developing scalable AI/ML software for data center GPUs
Role Subtype Machine Learning Engineer
Tech Domains GPU programming, Machine Learning, AI frameworks
AI Software Application Engineermachine learningML frameworksGPU programmingC++CI/CDopen-sourcereference solutionshardware accelerationAI solutionsdata centersperformance optimizationsoftware developmentscalable solutionsAMDAI software engineer

Lack of C++ or GPU programming experience, No experience with AI/ML frameworks, No background in hardware acceleration, No collaborative or analytical skills

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