Senior DL Software Engineer, DLSim - GPU Simulation & MLIR

NVIDIA; Hillsboro (OR); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a Deep Learning Software Engineer to help develop simulation infrastructure for AI workloads across GPU hardware. You will collaborate with architecture, software, product, and research teams to shape the DL roadmap while delivering fast, scalable evaluation backends and optimization techniques.

The role requires a Masters (or equivalent) in a related STEM field, 3+ years in compiler optimization and architectural simulation, and strong C/C++/Python skills.

Qualifications

• Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.
• 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.
• Strong hands-on experience with MLIR and compiler infrastructure.
• Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.
• Strong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.

Responsibilities

• Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.
• Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.
• Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.
• Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.

Skills

MLIR

C/C++

Python

Compiler optimization

Architectural simulation

Performance analysis

Collaboration

Education

Master's degree

PhD preferred

Tools

MLIR

Job description

NVIDIA is seeking a Deep Learning Software Engineer to help develop simulation infrastructure for AI workloads across GPU hardware. You will collaborate with architecture, software, product, and research teams to shape the DL roadmap while delivering fast, scalable evaluation backends and optimization techniques.

The role requires a Masters (or equivalent) in a related STEM field, 3+ years in compiler optimization and architectural simulation, and strong C/C++/Python skills.