NVIDIA seeks an AI & Deep Learning Compiler Engineer to join its DLC team, focusing on advancing large language models, generative AI, recommendation systems, image classification, speech recognition, and more. This role involves strong programming skills in CUDA for analyzing and debugging performance bottlenecks on GPUs, defining public APIs, optimizing performance, and implementing compiler techniques tailored for AI workloads and future NVIDIA GPUs. Ideal candidates should hold a bachelor’s, master’s, or Ph.D., with expertise in compiler technologies like MLIR, LLVM, XLA, Triton, proficiency in modern Nvidia GPU architectures such as Hopper and Blackwell, and experience with deep learning frameworks including PyTorch and JAX. Additionally, the ability to mentor early-career engineers and contribute to new hardware bring-up is valued.
Analyze and debug performance bottlenecks on GPUs using CUDA.
Define public APIs for AI workloads and future NVIDIA GPUs.
Optimize compiler techniques for deep learning models and algorithms.
Implement performance optimizations and analysis for DL inference engines.
Author GPU kernels and analyze their performance with tools like Nsight Compute.
What we're looking for
Bachelor’s, master’s or Ph.D. in a relevant field.
Experience with compiler technologies like MLIR, LLVM, XLA, Triton.
Proficient in modern Nvidia GPU architecture (e.g., Hopper, Blackwell).
Strong programming skills in CUDA and experience debugging GPUs.
Understanding of deep learning models, algorithms, and frameworks.
Ability to author GPU kernels and analyze performance using tools.
Market check
Salary context
This
$152,000–$241,500
range sits above
44%
of similar postings on FindRole.
Peer median band
$161,350–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$167,150–$245,625
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.
Remote (Us, Tx, Austin, US)17 days ago
$184,000–$287,500
Python
C/C++
Julia
Lisp
LLVM
GPU
reinforcement_learning
genetic_algorithms
predictive_modeling
complex_systems
AI
ML
optimization_passes
code_generation
frontend_integration