Senior Systems Software Engineer, Deep Learning Infrastructure

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TX
Salary
$184,000–$287,500 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $236k
$167k most similar roles pay here $300k

This role pays more than 73% of similar roles. Most pay $183,733–$236,900 — the shaded band above. At the midpoint, this role pays about $236k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Systems Software Engineer, Deep Learning Infrastructure

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As a Senior Deep Learning Infrastructure Engineer at NVIDIA, you will join a dynamic team dedicated to advancing AI-driven chip design by developing and maintaining scalable deep learning infrastructure. Your responsibilities include designing high-bandwidth data pipelines, APIs, databases, and services while collaborating closely with domain experts and research teams to productize and release cutting-edge solutions. You will need expertise in Python or JavaScript, along with experience in full-stack development, dev-ops, cloud computing, and machine learning fundamentals such as RAG pipeline development. This role demands a passion for continuous learning and innovation within the fast-evolving field of AI and VLSI design, where your work will significantly impact future technological advancements.

Skills

Python JavaScript DevOps Full-Stack Development Databases Cloud Computing Machine Learning RAG Pipeline LLM Applications

What you'll do

  • Design and build high-bandwidth data-pipelines and related infrastructure for deep learning platforms.
  • Develop APIs, databases, and services to support scalable AI agent systems in VLSI design.
  • Collaborate with domain experts and research teams to productize and maintain deep learning products.
  • Act as an engineering generalist by acquiring necessary skills to solve complex problems efficiently.
  • Contribute to the innovation of chip development through advanced AI-driven solutions.

What we're looking for

  • Minimum 6+ years of experience in services, pipelines, API development, and system design.
  • Expertise in Python, JavaScript, or a similar programming language.
  • Strong background in machine learning and experience with RAG pipeline or LLM applications.
  • Experience in dev-ops, full-stack development, databases, and cloud computing.
  • Bachelor’s/Master's degree in computer science, engineering, or related field.

Related searches

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