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# Deep Learning Compiler Engineer

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Software Debugging, Open Source Technology, OpenCL, Performance Tuning, Software Engineering, Speech Recognition, Graphics Processing Unit (GPU), Deep Learning, Information Technology, MLIR (Multi-Level Intermediate Representation), Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/deep-learning-compiler-engineer-santa-clara-ca--7c4dcdae-c5c5-4a7a-bcc5-d6d3f4bb5dfe

## About the Role

Deep Learning, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Speech Recognition, Software Engineering, Deep Learning, CUDA (Compute Unified Device Architecture), IR (Infrared), Artificial Intelligence (AI) Programming Languages, * Bachelors, Masters 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.
 * Ability to work independently, define project goals and scope, and lead your own development effort.
 * Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
 * Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

 * Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.
 * Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms.

## Description

In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU kernels. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work.