Senior Software Engineer, AI Speed Infrastructure

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CARedmond, WA
Salary: $184,000–$287,500 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k

This role $236k

$153k most similar roles pay here $302k

This role pays more than 72% of similar roles. Most pay $167,249–$243,125 — the shaded band above. At the midpoint, this role pays about $236k versus about $205k 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, AI Speed Infrastructure

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Join our dynamic team as a Senior Performance Engineer to build AI-native CI workflows for Tegra’s large C/C++ codebases, focusing on rapid development cycles and tight feedback loops. You will design efficient build, test, and validation paths, integrating reasoning agents that diagnose failures and automate recovery, while enhancing incremental builds, caching, and remote execution. Your role involves creating machine-readable outputs and policies to enable safe agent use at scale, and packaging workflows for reuse across teams. Ideal candidates have a BS/MS in Electrical or Computer Engineering with 8+ years of experience in systems architecture, build systems, CI orchestration, and test strategy. Proficiency in Python and scripting is essential, along with real-world AI tool usage and deep knowledge of safety-critical validation flows. Experience scaling CI/build systems for large mono-repos and improving feedback loops with measurable gains will set you apart.

Skills

CI/CD Python Kubernetes Terraform AWS Docker Git C C++ PostgreSQL Prometheus Grafana Jenkins Bazel GitHub Actions Travis CI CircleCI Safety-Critical Systems High-Assurance Validation AI Coding Tools Reasoning Agents Simulation Emulation Device-Lab Testing Remote Execution Incremental Builds Caching Test Selection

What you'll do

Design fast build, test, and validation paths for Tegra C/C++ codebases.
Integrate reasoning agents to triage failures and recommend fixes.
Improve incremental builds, caching, remote execution, and test selection.
Build machine-readable outputs and policies for autonomous recovery at scale.
Package workflows and platform capabilities for reuse by other teams.
Drive adoption with metrics, documentation, and hands-on enablement.

What we're looking for

8+ years of relevant industry experience in systems/build architecture for C/C++ codebases
Strong background in build systems, CI orchestration, and test strategy
Experience with AI coding tools and agent workflows for daily use
Python/scripting skills for workflow automation, tooling, and agents
Ability to reason about safety-critical validation flows and improve feedback loops
Built or scaled CI/build systems for large mono-repos or embedded platforms
Shipped internal AI-assisted developer workflows used by other engineers

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