SDE IV - GPU Engineer

Required Qualifications

• 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.
• Proven expertise in  CUDA / Triton / C++  , with deep understanding of GPU scheduling, occupancy, register usage, and tensor cores.
• Experience building and maintaining  distributed inference  or training systems.
• Ability to  design abstractions  balancing flexibility and performance.
• Strong knowledge of  NCCL  , NVLink, PCIe, and interconnects.
• Familiar with  profiling automation  and performance dashboards.
• Excellent technical leadership and mentoring capabilities.

Skills Required

C++, triton