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Senior Deep Learning Software Engineer, DLSim

NVIDIA· Engineer, Sys SW
Apply on company site
Santa Clara, CA, Austin, TX, Hillsboro, OR$152k - $241.5kfull-timePosted 1mo ago

About the role

DL Performance Modeling Team builds full stack simulation infrastructure for deep learning applications across GPUs; collaborates to shape the roadmap of DL hardware/software and develops simulation infrastructure to assess AI-accelerating GPU hardware and software advancements.

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.

Qualifications

  • A 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.

Skills

Required:MLIR and compiler infrastructureC/C++Python

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Aug 28, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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