Artificial Intelligence Engineer

KEY RESPONSIBILITIES:

• Develop AI/ML-based test methodologies for smarter validation of workflows.
• Test Graphics, Display, Multimedia, and Audio software features on AMD SoCs both manually and automatically by developing solutions.
• Develop and manage test automation scripts and frameworks in Python, Perl, Shell scripting, and C# on Windows.
• Responsible for quality and timeliness of result for a portion of project/process.
• Implement checks and balances independently to minimize the impact of mistakes.
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

PREFERRED EXPERIENCE:

• Proficiency in Python and at least one additional programming language is required. Experience with C/C++, Java, C#, Bash, or PowerShell is preferred. Familiarity with implementing functionality beyond existing libraries, as well as integrating existing libraries, is expected.
• Candidates should have experience with database interactions (such as SQL,Snowflake), troubleshooting on Windows systems, and working with QA and CI workflows.
• A strong understanding of software architecture and hands-on experience with Windows
• Knowledge of Windows OS fundamentals, such as the kernel, boot process, and graphics architecture.
• Applicants should possess skills in issue debugging and isolation at the kernel and driver module levels within Windows environments. An understanding of PC hardware, SoC, chipsets, graphics cards, BIOS, and VBIOS will be an advantage.
• Analytical, problem-solving, and critical thinking abilities are required. Experience with object-oriented programming is also necessary.
• Experience will be an advantage in building and training models using frameworks such as PyTorch, TensorFlow, and TorchRL is necessary. Knowledge of Large Language Models, multimodal models, and computer vision techniques is considered an asset.
• Effective verbal and written communication skills are essential, along with a results-oriented approach and the ability to contribute to work involving next-generation technology.
• Good to have End to End Project management experience or CSM/PMP certification ACADEMIC CREDENTIALS:
• Bachelor engineering degree in CS/ECE with 2 - 3 years working experience or above
• Masters engineering degree in CS/ECE with 1-2 years of working experience Comments for Suppliers:
• Develop AI/ML-based test methodologies for smarter validation workflows
• Develop and manage test automation scripts and frameworks in Python, Perl, Shell scripting, and C# on Windows."