Senior Deep Learning Software Engineer, DLSim

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

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.

Requirements: 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.

Key Skills:

• MLIR
• C++
• Python
• Compiler Optimization
• Architectural Simulation
• Deep Learning
• Software Design
• Performance Analysis
• Computational Graph Optimization
• LLM Inference
• GPU Architecture
• Debugging

Benefits:

• Equity
• Benefits