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

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Skills you'll use

What you'll do

• 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 

Who can apply

• 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 
• 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) 

About Sandisk

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