Kernel Engineer — Scientific Computing (SPU)

About this role

Responsibilities

• Prototyping and implementing core kernels and low-level numerical primitives for the SPU
• Translating mathematical formulations into executable, performance-relevant kernel implementations
• Analyzing and optimizing memory-access patterns, including coalescing, locality, shared memory usage, cache behavior, register pressure, and host-device data movement
• Collaborating closely with hardware architects to evaluate algorithm–architecture tradeoffs around memory hierarchy, synchronization, vector/SIMT execution, instruction behavior, and parallel scheduling
• Working with compiler and runtime teams to ensure kernels map cleanly to the SPU programming model