Senior Software Engineer, AI Speed Infrastructure (Santa Clara)

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.What you'll be doing:Build AI-native, self-healing CI workflows for large Tegra C/C++ codebasesDesign fast build, test, and validation paths that keep developers and agents in tight loopsIntegrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recoveryImprove incremental builds, caching, remote execution, and test selectionIntegrate simulation, emulation, and device-backed testing into trustworthy CIBuild machine-readable outputs, policies, and recovery paths that agents can safely use at scalePackage workflows and platform capabilities so other teams can reuse themDrive adoption with metrics, docs, and hands-on enablementWhat we need to see:BS/MS in Electrical or Computer Engineering, or equivalent experience8+ years of relevant industry experienceStrong systems / build architecture for C/C++ codebasesReal daily use of AI coding tools and agent workflowsDeep experience with build systems, CI orchestration, and test strategyPython / scripting for workflow automation, tooling, and agentsAbility to reason about safety-critical or high-assurance validation flowsWays to stand out from the crowd:Built or scaled CI/build systems for large mono-repos or embedded platformsImproved feedback loops with measurable gains in build/test latency or signal qualityBuilt speed infrastructure for AI coding agents, autonomous validation, or high-throughput CI usersWorked on hardware/device-lab testing, remote execution, or change-based test selectionShipped internal AI-assisted developer workflows used by other engineersWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until June 15, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.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.SummaryLocation: US, CA, Santa Clara; US, WA, RedmondType: Full time