Senior Systems Software Engineer, Deep Learning Infrastructure

NVIDIA

Senior Deep Learning Infrastructure Engineer at NVIDIA developing infrastructure for deep learning platforms. Building data-pipelines and collaborating with research teams to advance AI chip design.

Posted 5/16/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaScriptPython

About the role

Key responsibilities & impact

Work towards building applications and developing infrastructure for a highly scalable deep learning platform
Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services
Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products
Be an engineering generalist
Discover and build skills needed at different times towards solving problems at hand

Requirements

What you’ll need

Bachelor’s/Master's degree in computer science, engineering, or related field (or equivalent experience)
Minimum 6+ years of experience in services, pipelines, API development and system design
Expertise in Python, JavaScript or another similar programming language
Zeal to learn and perform beyond prior experience and expertise
Experience in dev-ops, full-stack development, databases and cloud computing
Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications

Benefits

Comp & perks

eligible for equity and benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaScriptAPI developmentsystem designdev-opsfull-stack developmentdatabasescloud computingmachine learningRAG pipeline

Soft Skills

ownershipproblem-solvinglearning agility

Certifications

Bachelor's degreeMaster's degree