Senior Deep Learning Software Engineer DLSim — Equity

NVIDIA AI; Eugene (OR); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI is seeking a skilled engineer to develop simulation backends and optimize deep learning compiler kernel code generation for evaluating AI workloads on NVIDIA GPU stacks.

You will partner with architects to optimize datacenter-scale AI deployments and guide future silicon design decisions, requiring a strong foundation in C++, Python, and MLIR, plus 3+ years in compiler optimization or architectural simulation.

Qualifications

• Requires a Master's or PhD in Computer Science or a related STEM field with 3+ years of experience in compiler optimization or architectural simulation.
• Proficiency in C++, Python, and MLIR is essential for this role.

Responsibilities

• Develop simulation backends and improve deep learning compiler kernel code generation to evaluate AI workloads across NVIDIA GPU stacks.
• Partner with architects to optimize datacenter-scale AI deployments and guide future silicon design decisions.

Job description

NVIDIA AI is seeking a skilled engineer to develop simulation backends and optimize deep learning compiler kernel code generation for evaluating AI workloads on NVIDIA GPU stacks.

You will partner with architects to optimize datacenter-scale AI deployments and guide future silicon design decisions, requiring a strong foundation in C++, Python, and MLIR, plus 3+ years in compiler optimization or architectural simulation.