Senior Compiler Engineer, AI Inference Platforms

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Job summary

NVIDIA Gruppe is seeking an AI & Deep Learning Compiler Engineer for its Deep Learning & AI Compiler team in Santa Clara, California. This role involves analyzing and optimizing deep learning networks, as well as developing compiler algorithms to enhance performance on NVIDIA GPUs.

Ideal candidates should have a Bachelor’s, Master’s, or Ph.D. in Computer Science or related field with 3+ years of experience. A competitive base salary between $152,000 and $241,500 is offered, along with benefits.

Qualifications

• 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
• Experience with deep learning models, algorithms, and frameworks such as PyTorch and JAX.
• Strong interpersonal skills and ability to work in a dynamic product-oriented team.

Responsibilities

• Analyze deep learning networks and develop compiler optimization algorithms.
• Collaborate with other teams to accelerate deep learning software.
• Define public APIs and implement compiler techniques for AI workloads.

Skills

C/C++ programming

Python programming

Compiler optimization

Performance analysis

Deep learning algorithms

Education

Bachelor’s, Master’s or Ph.D. in Computer Science or Computer Engineering

Tools

LLVM

MLIR

CUDA

OpenCL

Job description

Overview

AI & Deep Learning Compiler Engineer for NVIDIA’s Deep Learning & AI Compiler (DLC) team.

What you’ll be doing

• Analyze deep learning networks and develop compiler optimization algorithms.
• Collaborate with deep learning software framework teams and GPU architecture teams to accelerate the next generation of deep learning software.
• Scope includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.

What we need to see

• 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).
• 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 development efforts.
• Strong interpersonal skills and the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd

• Proficiency in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
• Understanding of deep learning models, algorithms and frameworks such as PyTorch and JAX.
• GPU kernel authoring and performance analysis using tools such as Nsight Compute.
• Track record of mentorship for early‑career engineers and interns.
• Track record of new hardware bring‑up.

Compensation & Benefits

Base salary range: 152,000USD – 241,500USD. Eligible for equity and benefits.

EEO Statement

NVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.