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Tier-1 brand, metro Bangalore, and mid-level (5-8 yrs) experience amplify competition.
Specialized neural-library, accelerator and numerical validation skills limit cross-industry transferability.
Explicit years, mandatory C++ and AI/ML validation skills make filters highly strict.
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Validate neural network operators and libraries for correctness and performance in next-generation AI computational storage products.
Develop, execute, and maintain automated tests, smoke tests, and regression test suites for operator and graph-level validation.
Benchmark performance metrics and conduct software profiling to identify execution bottlenecks and memory issues across compiler, runtime, and hardware layers.
4-6 years experience in AI/ML systems validation or performance testing.
Strong C++ programming skills with Object-Oriented Programming fundamentals mandatory.
Experience with Python for test automation and familiarity with deep learning frameworks (PyTorch preferred).
Work Experience Required: 4-6 years in relevant domain.
Experienced in numerical accuracy validation and floating-point computations relevant to deep learning operators.
Able to debug failures and identify issues across compiler, runtime, and hardware execution stacks.
Familiar with profiling/debugging tools and ML execution stacks, with additional exposure to accelerator validation (GPU/NPU/FPGA) and large language model workloads.