Senior Deep Learning Infrastructure Engineer

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI API @ 7 Cloud Computing @ 4 Data Pipelines Deep Learning DevOps @ 4 JavaScript @ 6 LLM Machine Learning @ 6 Python @ 6 RAG @ 4

Details

NVIDIA is seeking Senior Deep Learning Infrastructure Engineers to build the deep learning infrastructure powering AI agents for VLSI design. The role focuses on developing scalable platforms and infrastructure that improve innovation and efficiency in chip development.

Responsibilities

Build applications and infrastructure for a highly scalable deep learning platform.
Design, build, and maintain high-bandwidth data pipelines and related infrastructure, including APIs, databases, and services.
Collaborate with domain experts and research teams.
Take ownership of productizing, releasing, and maintaining deep learning products.
Work as an engineering generalist, developing the skills needed to solve problems across different areas.

Requirements

Bachelor's or master's degree in computer science, engineering, or a related field, or equivalent experience.
At least 6 years of experience with services, pipelines, API development, and system design.
Expertise in Python, JavaScript, or a similar programming language.
Willingness to learn and perform beyond prior experience and expertise.

Preferred Qualifications

Experience with DevOps, full-stack development, databases, and cloud computing.
Fundamentals in machine learning.
Experience building retrieval-augmented generation (RAG) pipelines or other large language model applications.

Compensation And Benefits

Base salary range: $184,000–$287,500 USD for Level 4, or $224,000–$356,500 USD for Level 5.
Eligible for equity and benefits.
Applications will be accepted at least until August 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.