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AI ML performance test engineer

0 years

0 Lacs

bengaluru karnataka india

Posted:1 week ago| Platform: Foundit logo

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Skills Required

software qa methodologies ai compute stacks compilers toolchains xdna profiling tools tvm xla hip yocto linux environments onnx runtime openvino ml frameworks profiling tools and performance analysis vitis ai

Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a highly skilled AI/ML Validation Engineer with a strong foundation in machine learning, deep learning, and system-level validation. The ideal candidate will have hands-on experience with ML frameworks, profiling tools, and AI compute stacks, and will play a key role in validating end-to-end AI pipelines and ensuring software quality across diverse platforms.

Responsibilities

  • Design and execute validation plans for AI/ML compute stacks (HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, TensorFlow, PyTorch).
  • Validate end-to-end AI pipelines including model conversion, inference runtimes, compilers/toolchains, kernel execution, and memory transfer.
  • Profile ML workloads and optimize performance across platforms.
  • Collaborate with global teams to ensure high-quality deliverables.
  • Apply software development lifecycle practices to validation workflows.
  • Document defects, validation results, and improvement recommendations.

Primary Skills

  • Strong knowledge of ML fundamentals, deep learning, LLMs, and recommender systems.
  • Proficiency in Python programming.
  • Experience with PyTorch, TensorFlow, ONNX Runtime.
  • Familiarity with Ubuntu/Yocto Linux environments.
  • Expertise in profiling tools and performance analysis.
  • Strong understanding of software QA methodologies.

Secondary Skills

  • Experience with compilers/toolchains like TVM, Vitis AI, XDNA, XLA.
  • Exposure to production-grade software validation workflows.
  • Excellent problem-solving and communication skills.

Educational Qualification

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.

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