Senior Software Engineer, AI Speed Infrastructure

With the latest advances in AI, verification and feedback loops are becoming the clock speed of software development. We are looking for someone who wants to build AI speed infrastructure for Tegra: a ridiculously fast build, test, and validation system for the future, aimed at supporting developers and swarms of agents where turn times will be measured in seconds. We are looking for someone passionate about building the build, test, and validation platform for our Tegra driver developers: someone who can design workflows, build the CI control plane, and dramatically improve development speed and signal quality across large, safety‑critical C/C++ codebases.

The right person will treat build graphs, test selection, cacheability, hermeticity, hardware scheduling, policy, and developer experience as first‑class product surfaces, turning them into workflows teams actually want to use and integrating AI agents into the control plane to enable self‑healing and further optimizations.

This is fundamentally a performance engineering role. You will be ruthlessly optimizing every step of the pipeline—rebuilding infrastructure from the ground up wherever needed—to define how code moves from a developer’s (or agent’s) change to a trusted, merged signal. We want someone who can design fully automated, multi‑tiered testing pipelines where code is seamlessly validated across local, remote, and scarce device‑lab resources.

You will architect how risk‑based gating operates at agent‑speed, how failures are autonomously diagnosed and remediated, how infrastructure self‑heals, and how we scale these next‑generation workflows across massive engineering teams.

• 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

• 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

• 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

The base salary range for Level 4 is $184,000 – $287,500 and for Level 5 is $224,000 – $356,500, based on location and experience. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Applications for this job will be accepted until June 15, 2026.

This posting is for an existing vacancy.