Manager, Infra Tools AI

Experience: 3 to Not Available years

Location: Israel, Raanana

Skills: Python, CI/CD, Jenkins, GitLab CI, GitHub Actions, LLMs, AI-assisted developer tooling, Linux, Ethernet switching, L2/L3 protocols, QoS, VLANs, data center networking, code coverage, C, test prioritization

Company Overview
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle — from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.

What you’ll be doing:
Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.
Architect and deliver LLM-based tools for intelligent regression analysis — failure classification, root cause clustering, anomaly detection, and test flakiness prediction
Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling
Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane




Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities

What we need to see:
B.Sc. degree or higher in Computer Science, Software Engineering, or a related field — or equivalent experience
8+ overall years of software engineering experience, with at least 3 years in an infrastructure, DevOps, or tooling leadership role
Strong Python programming skills; experience building production-quality automation frameworks and tooling
Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent)
Hands-on experience with LLMs or AI-assisted developer tooling — building, integrating, or productizing AI capabilities in an engineering workflow
Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence
Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions

Ways to stand out from the crowd:
Deep Linux expertise: system internals, networking stack, process management, and scripting
Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment
Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking
Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization
Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software workplace

📌 Manager, Infra Tools AI (Mumbai)
🏢 NVIDIA
📍 Mumbai