Role : Validation Automation Engineer
We're looking for a skilled Validation Automation Engineer with 3-6 years of experience to join our team in [Insert Location]. The ideal candidate will have a strong background in machine learning validation and be proficient in Python with expertise in Linux / Yocto.
- Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime.
- Experience in profiling ML workloads Prior experience in executing validation plans for AI / ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime and TensorFlow / PyTorch integrations.
- Prior experience in validating end-to-end AI pipelines, for e.g. model conversion (e.g., PyTorch - ONNX), Inference runtimes (e.g, ONNX Runtime, TensorRT, ROCm / HIP), compilers / toolchains (e.g. TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer and inference results
- Strong background in python programming.
- Excellent problem-solving skills and willingness to think outside the box.
- Experience with production software quality assurance practices, methodologies, and procedures
- Strong ownership of deliverables, Excellent communication skills and experience working with global teams.
Key Responsibilities :
Develop and execute validation plans for AI / ML compute stacks, including but not limited to HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, and TensorFlow / PyTorch integrations.Validate end-to-end AI pipelines, covering model conversion (e.g., PyTorch to ONNX), inference runtimes (e.g., ONNX Runtime, TensorRT, ROCm / HIP), compilers / toolchains (e.g., TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer, and inference results.Profile ML workloads to identify performance bottlenecks and areas for optimization.Develop and maintain robust Python automation scripts for validation test suites.Work within a Linux / Yocto environment.Collaborate with global teams to ensure product quality and a seamless software development lifecycle.Debug and troubleshoot complex issues related to AI / ML software.Required Skills & Experience
3-6 years of experience in software validation or a related field.Strong background in machine learning fundamentals, including deep learning, large language models, and recommender systems.Proficiency in Python programming is a must.Extensive experience with Linux and Yocto.Hands-on experience with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime.Experience with production software quality assurance practices, methodologies, and procedures.Excellent problem-solving skills and a proactive, ownership-oriented approach to deliverables.Strong communication and collaboration skills for working with global teams.(ref : hirist.tech)