Hiring Pytorch Automation specialist, with expertise in Pytorch workloads and triton.

• Develop PyTorch workloads that stress model‑level execution (e.g., large GEMMs, attention patterns, MoE‑like behavior, mixed precision, long‑running loops)
• Author custom Triton kernels to directly stress hardware execution units, memory hierarchies, and synchronization paths
• Build parameterized stress harnesses that can scale with problem size, number of devices, and runtime duration
• Integrate workloads with existing tooling for profiling, monitoring, and failure triage
• Collaborate with platform, firmware, and SDK teams to ensure workloads target known risk areas and emerging issues
• Document usage patterns and provide reproducible scripts for lab and CI usage

Expected Deliverables

• A library of reusable PyTorc...