Senior Performance Compiler Engineer - Triton

Nvidia

Remote Actively hiring

Remote · Redmond, WA · Santa Clara, CA Posted 21 days ago $184,000–$287,500 / year

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At a glance

AI generated

TL;DR

As a Senior Performance Compiler Engineer on the Triton team at NVIDIA, you will focus on advancing the open-source Triton compiler project by investigating cutting-edge NVIDIA GPU hardware and programming models. Your daily tasks include optimizing advanced AI algorithms and numerics to enhance performance in large language models and other high-impact applications. Utilizing MLIR, you will design and implement efficient low-level GPU code from high-level kernel descriptions written in Python DSL, occasionally hand-tuning critical paths with inline PTX for peak performance. You will collaborate closely with hardware architects and the CUDA compiler team to influence future product development and ensure maximum efficiency. Ideal candidates have extensive experience in C++, parallel programming (CUDA/OpenCL), and a deep understanding of computer architecture, along with contributions to open-source projects in AI/ML or compilers.

Skills

C++ CUDA OpenCL MLIR TVM Python BLAS Linear_Algebra Assembly Parallel_Programming OpenMP Computer_Architecture Performance_Analysis Debugging Machine_Learning_Compilers High_Performance_Computing Open_Source_Contributions

What you'll do

Investigate NVIDIA GPU hardware architecture and programming models for future technologies.
Optimize advanced AI algorithms and numerics using Triton's Python DSL and MLIR.
Implement efficient low-level GPU code from high-level kernel descriptions in C++.
Hand-tune critical code paths with inline PTX to extract peak performance on GPUs.
Collaborate with hardware architects and CUDA compiler team to influence product design.

What we're looking for

8+ years of industry experience in software development.
Strong C++ programming skills and expertise in performance analysis.
Experience with parallel programming using CUDA/OpenCL or similar models.
Solid understanding of computer architecture and assembly-level programming.
Background in numerics, linear algebra, and tuning BLAS/deep learning kernels.
Contributions to open-source projects in AI/ML or compiler domains.
Familiarity with machine learning compilers like TVM or MLIR.

Market check

Salary context

This $184,000–$287,500 range sits above 91% of similar postings on FindRole.

Peer median band

$126,712–$223,365

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,400–$196,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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View all roles at Nvidia

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