10 days ago
Austin, TX, USA +2 moreMid Level
H1B sponsor
Base Salary
$152k - $242k/yr
Responsibilities
- Design and implement compiler transformations for CUDA Tile and TensorIR.
- Develop MLIR-based dialects and lowering passes.
- Optimize tile-based kernel performance across NVIDIA GPU architectures.
- Define public APIs and implement compiler and optimization techniques.
- Conduct performance analysis and other general software engineering work.
- Independently define project goals and scope and lead development efforts.
Requirements
- 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 and software design skills, including debugging, performance analysis, and test design.
- Ability to work independently and lead one's own development effort.
- Strong interpersonal skills and ability to work in a dynamic product-oriented team.
- Knowledge of CPU and/or GPU architecture is preferred.
- CUDA or OpenCL programming experience is preferred.
- Experience with MLIR, LLVM, XLA, TVM, and deep learning models and algorithms is preferred.
Benefits
- Competitive base salary of USD 152,000–241,500, plus equity and benefits.
- Comprehensive benefits package.
- Applications accepted at least until November 3, 2026.
Tech Stack
CC++
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.