Sr. SW Test Engineer - Neural Library (5-8 years)

We are looking for a Sr. SW Test Engineer - Neural Library to validate neural network operators and libraries for a next-generation AI computational storage product. You will ensure correctness, performance, and robustness of compute kernels deployed on advanced hardware platforms.

Key Responsibilities

• Validate neural network operators (matmul, convolution, attention, etc.) for correctness using reference models

• Develop automated tests for operator-level and graph-level validation

• Perform numerical accuracy validation against frameworks like PyTorch or TensorFlow

• Execute and maintain smoke and regression test suites

• Benchmark and validate performance (throughput, latency, scaling behavior)

• Build and maintain performance benchmarking frameworks

• Perform software profiling to analyze execution bottlenecks

• Conduct memory usage analysis and detect memory leaks

• Identify issues across compiler → runtime → kernel execution stack

• Debug failures across compute kernels, runtime APIs, and hardware execution

• Collaborate with compiler, runtime, and hardware teams

Required Qualifications

• 4–6 years in AI/ML systems validation or performance testing

• Strong C++ programming skills (mandatory)

• Strong Object-Oriented Programming (OOP) fundamentals (mandatory)

• Experience with Python for test automation

• Strong understanding of deep learning operators and frameworks (PyTorch preferred)

• Experience with numerical validation and floating-point behavior

• Knowledge of parallel execution, memory hierarchy, and compute kernels

Preferred

• Experience with profiling and debugging tools (perf, VTune, Nsight, etc.)

• Experience with ML execution stacks (MLIR/XLA or similar)

• Exposure to accelerator validation (GPU/NPU/FPGA)

• Experience validating large language model workloads

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