Senior Software Engineer, DGXC Data Services

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $197k
$137k most similar roles pay here $253k

This role pays more than 53% of similar roles. Most pay $148,356–$222,437 — the shaded band above. At the midpoint, this role pays about $197k versus about $185k 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 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, DGXC Data Services

Join NVIDIA’s DGXC Data Services team as a Senior Software Engineer to develop cloud-native software services for managing data across hybrid and multi-cloud infrastructures. You will design and build software code and cloud services, including cataloging datasets and managing metadata lifecycles, while collaborating with technical leaders and the research team to leverage new storage and compute innovations like GPU direct storage and DPU. The role requires a strong background in algorithms, data structures, and experience with Kubernetes, Cloud Native technologies, and leading cloud providers such as AWS, GCP, or Azure. Programming proficiency in languages like Go, Python, C/C++, Java is essential, along with hands-on experience in large-scale data services and enterprise-grade customer data analytics solutions. Familiarity with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), and Machine Learning infrastructure toolsets will be highly beneficial.

What you'll do

  • Design and build software code for data management, including cataloging datasets and managing metadata.
  • Integrate existing technologies from other NVIDIA teams to ensure cohesive system design.
  • Utilize new storage and compute innovations with GPU direct storage and DPU technology.
  • Build large-scale data services to support enterprise-grade customer data analytics problems.
  • Develop cloud-native software services using Kubernetes and leading cloud providers like AWS, GCP, or Azure.

What we're looking for

  • BS in CS/IS/CE or equivalent with 5+ years of relevant experience
  • Strong foundation in algorithms, data structures, and real-world applications
  • Experience building cloud-native services using Kubernetes and major CSPs
  • Background in backend systems engineering and programming languages like Go, Python, C/C++, Java
  • Hands-on experience in managing large-scale data services and enterprise analytics problems
  • Proficiency with Apache Spark, object storage, metadata management, and ML infrastructure tools

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