Senior AI Inference Compiler Engineer | Equity

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

5 days ago

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Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an AI & Deep Learning Compiler Engineer to advance the DLC team, optimizing compiler workloads for AI models across data centers, devices, and automotive platforms. You will collaborate with DL frameworks and GPU teams to accelerate inference and future NVIDIA GPUs.

The role emphasizes C/C++ and Python, performance analysis, and independent project leadership in a fast-paced, innovative environment.

Qualifications

Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
3+ years of relevant work or research experience in performance analysis and compiler optimizations.
Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
Ability to work independently, define project goals and scope, and lead your own development efforts.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Responsibilities

Analyzing deep learning networks and developing compiler optimization algorithms.
Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.
Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.