
AI/ML Performance Testing Specialist
2 weeks ago
We're seeking a seasoned AI/ML Performance Test Engineer with expertise in machine learning fundamentals and validation processes.
Job Summary
- A thorough background in deep learning, large language models, and recommender systems is required.
- Experience working with open-source frameworks such as PyTorch, TensorFlow, and ONNX-Runtime is essential.
- Prior experience executing validation plans for AI/ML compute stacks like HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, and TensorFlow/PyTorch integrations is desired.
- Prior experience validating end-to-end AI pipelines, including model conversion, inference runtimes, compilers/toolchains, kernel execution, memory transfer, and inference results is also required.
- Strong knowledge of Ubuntu/Yocto Linux and Python programming is necessary.
- Excellent problem-solving skills and willingness to think outside the box are highly valued.
- Experience with production software quality assurance practices, methodologies, and procedures is needed.
- Strong ownership of deliverables and excellent communication skills are expected.
Main Responsibilities:
- Develop and execute performance test plans for AI/ML workloads.
- Analyze performance data to identify bottlenecks and areas for improvement.
- Collaborate with cross-functional teams to implement optimization strategies.
- Validate AI/ML pipeline components, including model conversion, inference runtimes, and compilers/toolchains.
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