Description

You will validate AI/ML compute stacks and end-to-end inference pipelines.

This role is on-site.

Responsibilities

• Execute validation plans for AI/ML compute stacks using HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, and TensorFlow/PyTorch.
• Validate end-to-end AI pipelines, including model conversion, inference runtimes, compilers, kernel execution, memory transfer, and inference results.
• Profile ML workloads across various frameworks to ensure performance and correctness.
• Manage defects and execute validation processes within the software development life cycle.

Required Skills

• 5+ years of professional experience in software validation or QA.
• Strong fundamentals in Machine Learning, including Deep Learning, LLMs, and Recommender Systems.
• Proficiency in Python programming.
• Hands-on experience with PyTorch and TensorFlow.
• Solid knowledge of Ubuntu and Yocto Linux environments.
• Familiarity with ONNX-Runtime and ML workload profiling.
• Knowledge of OpenCL.
• Understanding of production software QA practices and methodologies.

Preferred Skills

• Experience with HIP and CUDA toolchains.

Key Skills

Education

Any Graduate