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:
โข Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases
โข Design fast build, test, and validation paths that keep developers and agents in tight loops
โข Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery
โข Improve incremental builds, caching, remote execution, and test selection
โข Integrate simulation, emulation, and device-backed testing into trustworthy CI
โข Build machine-readable outputs, policies, and recovery paths that agents can safely use at scale
โข Package workflows and platform capabilities so other teams can reuse them
โข Drive adoption with metrics, docs, and hands-on enablement
Qualifications:
Required:
โข BS/MS in Electrical or Computer Engineering, or equivalent experience
โข 8+ years of relevant industry experience
โข Strong systems / build architecture for C/C++ codebases
โข Real daily use of AI coding tools and agent workflows
โข Deep experience with build systems, CI orchestration, and test strategy
โข Python / scripting for workflow automation, tooling, and agents
โข Ability to reason about safety-critical or high-assurance validation flows
Preferred:
โข Built or scaled CI/build systems for large mono-repos or embedded platforms
โข Improved feedback loops with measurable gains in build/test latency or signal quality
โข Built speed infrastructure for AI coding agents, autonomous validation, or high-throughput CI users
โข Worked on hardware/device-lab testing, remote execution, or change-based test selection
โข 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.