Senior DL Simulation Engineer — AI Hardware & Equity

NVIDIA Gruppe; Santa Clara (CA); In loco; USD 152.000 - 288.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Descrizione del lavoro

NVIDIA is seeking a Deep Learning Software Engineer to help develop fast, scalable simulation infrastructure for AI workloads across NVIDIA compiler stacks in Santa Clara. The role emphasizes building backends, optimizing compiler kernels, and modeling datacenter-scale workloads.

Applicants should have a Master’s degree (or equivalent) in a STEM field with 3+ years in compiler optimization or architectural simulation, strong MLIR experience, and excellent C/C++/Python skills.

Competenze

• Masters (or equivalent) in Computer Science, Computer Engineering, or 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.

Mansioni

• 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.

Conoscenze

MLIR

C/C++

Python

Compiler optimization

Architectural simulation

Formazione

Master's degree in CS/CE or related STEM

PhD preferred

Strumenti

MLIR compiler infrastructure

Descrizione del lavoro

NVIDIA is seeking a Deep Learning Software Engineer to help develop fast, scalable simulation infrastructure for AI workloads across NVIDIA compiler stacks in Santa Clara. The role emphasizes building backends, optimizing compiler kernels, and modeling datacenter-scale workloads.

Applicants should have a Master’s degree (or equivalent) in a STEM field with 3+ years in compiler optimization or architectural simulation, strong MLIR experience, and excellent C/C++/Python skills.