Pls send candidates with Linux/Yocto experience only REQUIRED SKILLS
- Strong background in machine learning fundamentals including deep learninglarge language models and recommender systems.
- Strong background in validation defect and software development life cycle
- 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
Pls send candidates with Linux/Yocto experience only REQUIRED SKILLS Strong background in machine learning fundamentals including deep learninglarge language models and recommender systems. Strong background in validation defect and software development life cycle Strong knowledge on ubuntu / y...
Pls send candidates with Linux/Yocto experience only REQUIRED SKILLS
- Strong background in machine learning fundamentals including deep learninglarge language models and recommender systems.
- Strong background in validation defect and software development life cycle
- 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
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