Job Summary:
NVIDIA AI is seeking a Senior Software Engineer for AI Speed Infrastructure to build a fast build, test, and validation system for Tegra. The role involves optimizing performance engineering workflows, integrating AI agents, and designing automated testing pipelines for large C/C++ codebases.
Responsibilities:
• Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases
• Design fast build, test, and validation paths that keep developers and agents in tight loops
• Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery
• Improve incremental builds, caching, remote execution, and test selection
• Integrate simulation, emulation, and device-backed testing into trustworthy CI
• Build machine-readable outputs, policies, and recovery paths that agents can safely use at scale
• Package workflows and platform capabilities so other teams can reuse them
• Drive adoption with metrics, docs, and hands-on enablement
Qualifications:
Required:
• BS/MS in Electrical or Computer Engineering, or equivalent experience
• 8+ years of relevant industry experience
• Strong systems / build architecture for C/C++ codebases
• Real daily use of AI coding tools and agent workflows
• Deep experience with build systems, CI orchestration, and test strategy
• Python / scripting for workflow automation, tooling, and agents
• Ability to reason about safety-critical or high-assurance validation flows
Preferred:
• Built or scaled CI/build systems for large mono-repos or embedded platforms
• Improved feedback loops with measurable gains in build/test latency or signal quality
• Built speed infrastructure for AI coding agents, autonomous validation, or high-throughput CI users
• Worked on hardware/device-lab testing, remote execution, or change-based test selection
• Shipped internal AI-assisted developer workflows used by other engineers
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.