Senior DL Compiler Engineer, CUDA Tile

Nvidia

Confirmed live 2 days ago High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAAustin, TXORWACA
Salary: $152,000–$241,500 / yr
Posted: 9 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k

This role $197k

$140k most similar roles pay here $263k

This role pays less than 58% of similar roles. Most pay $181,168–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior DL Compiler Engineer, CUDA Tile

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Senior DL Compiler Engineer -CUDA Tile will join the CUDA Tile team to work on a new tile-based programming model for GPUs. The role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels across multiple generations of NVIDIA GPU architectures. Responsibilities include defining public APIs, crafting optimization techniques, performing performance analysis, and conducting general software engineering tasks. Candidates should possess expertise in C/C++ programming, IR design, and compiler optimization. Preferred technical skills include knowledge of CPU and GPU architecture, CUDA or OpenCL programming, and experience with MLIR, LLVM, XLA, and TVM. The work focuses on the deep learning domain, specifically addressing the performance and execution efficiency of kernels within a tile-based programming model to support advanced computing applications.

Skills

CUDA C++ C MLIR LLVM XLA TVM Compiler Optimization GPU Architecture Performance Analysis Deep Learning IR Design OpenCL

What you'll do

Design and implement compiler transformations for the CUDA Tile programming model.
Develop MLIR-based dialects and lowering passes for GPU architectures.
Optimize the performance of tile-based kernels across multiple generations of NVIDIA GPUs.
Define public APIs for the CUDA Tile software components.
Craft and implement advanced compiler and optimization techniques.
Perform performance analysis and debugging to ensure efficient execution of kernel code.
Lead independent development efforts by defining project goals and scope.

What we're looking for

Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience).
3+ years of relevant work or research experience in compiler optimization, performance analysis, and IR design.
Excellent C/C++ programming skills including debugging, performance analysis, and test design.
Ability to work independently, define project goals and scope, and lead development efforts.
Strong interpersonal skills and the ability to work in a dynamic product-oriented team.
Knowledge of CPU and/or GPU architecture.
Experience with CUDA or OpenCL programming.
Experience with MLIR, LLVM, XLA, TVM, and deep learning models and algorithms.

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