Senior Systems Software Engineer, NV Cloud Functions

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $197k

$105k $256k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $149,500–$193,500 — the blue band above. At the midpoint, this role pays about $197k versus about $172k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Systems Software Engineer, NV Cloud Functions

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The Senior Systems Software Engineer - NV Cloud Functions will join a distributed team developing an open-source platform that links workloads to GPUs. You will design and ship services in Java, Go, and Rust to improve the performance, reliability, and scaling of a system routing AI workloads onto distributed GPU fleets. Daily responsibilities include building services on a public repository, automating build and release processes for cloud native environments, and triaging community issues. You will utilize Kubernetes, GitLab, ArgoCD, and scripting languages like Bash and Python to manage container orchestration. The role requires deep expertise in distributed software architecture, systems programming, and Unix kernel internals to solve the technical challenge of deploying and monitoring GPU-accelerated, containerized applications across decentralized clusters and various cloud regions.

Skills

Go Rust C Python Kubernetes Java Linux GitLab ArgoCD gRPC HTTP/2 Distributed Systems Bash Data Structures Algorithms Message Queues NVIDIA NIM

What you'll do

Design and ship services in Java, Go, and Rust for GPU-accelerated applications.
Improve the performance, reliability, and scaling of systems routing AI workloads onto distributed GPU fleets.
Automate and optimize build, test, integration, and release processes for cloud-native environments.
Integrate the platform with adjacent technologies like KAI Scheduler, NVIDIA NIM, Grove, and Dynamo.
Triage community issues and pull requests for the open-source project.
Write technical documentation to support and guide open-source contributors.
Develop Kubernetes Custom Resources and Operators for deployment in Cloud Service Providers.

What we're looking for

Bachelor’s or Master’s Degree in Computer Science or equivalent experience.
3+ years of hands-on software engineering experience.
Expert-level knowledge in a systems programming language such as Go, C, or Rust.
Proven understanding of Data Structures, Algorithms, and Distributed Software Architecture.
Strong understanding of container orchestration systems (Kubernetes) and container technologies with hands-on automation experience in GitLab and ArgoCD.
Expertise in a scripting language (Bash, Python) and experience with Unix/Unix-like kernel internals.
Understanding of performance, security, and reliability in complex distributed systems.
Experience with pub-sub models, message queues, and optimizing high-throughput network paths (preferred).