This role pays more than
72%
of similar roles. Most pay
$147,568–$206,450
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$177k
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
1047 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 833 roles with salary data.
As a Senior C++ Software Engineer - Infrastructure Tools, you will join the team responsible for developing and managing tooling and release infrastructure specifically for chip designers. You will research, develop, and maintain high-quality tools for scalable build, regression, and release systems while creating user-facing services to schedule, track, and triage workflows. Additionally, you will build internal tools to monitor and visualize key metrics of deployment systems while integrating modern CI/CD practices. The role requires proficiency in C++, Golang, Python, Perl, or Tcl, alongside a solid understanding of data structures, algorithms, and computer architecture. You may also utilize SCM tools like Git or Perforce, build systems such as Bazel or CMake, and distributed computing systems like LSF to solve complex infrastructure challenges while ensuring tool reliability and scalability across evolving hardware architectures.
C++
Golang
Unix
Linux
Verilog
VLSI
Compiler
Build Systems
Database
Dynamic Code Analysis
Domain-Specific Languages (DSLs)
Computer Architecture
RTL Design
Python
JavaScript
C++
Rust
Go
Kubernetes
CUDA
GraphQL
ClickHouse
Grafana
Datadog
Microservices
HPC
Performance Optimization
Web APIs
Computer Architecture
Bazel
Monorepo
CI/CD
Python
Go
TypeScript
Swift
Android
Kubernetes
AWS
Distributed Systems
Agentic AI
GitHub
Remote Build Execution
Test Infrastructure
IDE Tooling
C++
Python
CI/CD
NoSQL
Big Data
Git
Agile
Unit Testing
Digital Signal Processing
Estimation Theory
Control Systems
Linear Algebra
Differential Equations
GPU Programming
Parallel Programming
Asynchronous Programming
Sensor Fusion