AI Validation Engineer embedded systems:

Key Responsibilities:
AI/ML Validation & Quality Ownership on Ubuntu & Yocto OS Variants
• Lead the Team & Exeuctie validation efforts for complex AI/ML compute stacks across multiple platforms and environments
• Define, develop, and execute comprehensive validation plans, test strategies, and methodologies for AI software and system pipelines
• Own the defect lifecycle, including reporting, triage, root cause analysis, and closure
• Ensure validation coverage across functional, performance, stress, regression, and scalability testing
End to End AI Pipeline Validation
• Validate end to end AI workflows, including:
Validate end to end ROCmLibraries
o Model training, conversion, and optimization (e.g., PyTorch → ONNX)
o Inference runtimes (ONNX Runtime, TensorRT, ROCm/HIP, OpenVINO)
o Compilers and toolchains (TVM, Vitis AI, XDNA, XLA)
o Kernel execution, memory transfers, and inference accuracy
• Validate correctness, stability, and performance of AI workloads on Linux based environments (Ubuntu, Yocto)
AI Benchmarking,



Profiling & Optimization
• Define and execute AI benchmarking strategies for training and inference workloads across hardware platforms
• Perform performance profiling and analysis of AI models to identify compute, memory, and latency bottlenecks
• Collaborate with compiler, runtime, and hardware teams to drive model level and system level optimizations
• Validate performance improvements across model architectures, batch sizes, precision modes (FP32, FP16, INT8), and execution paths
• Ensure performance regressions are detected early and performance KPIs are met for production releases
ML Frameworks & Compute Stack Expertise
• Validate integration, functionality, and performance of AI frameworks including PyTorch, TensorFlow, and ONNX Runtime
• Execute and validate AI/ML workloads on compute stacks such as ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators
• Analyze performance impact of framework, compil

📌 AI Validation Engineer embedded systems (Bengaluru)
🏢 L&T Technology Services
📍 Bengaluru