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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