Job Requisition ID

JR2024228

Job Category

Engineering

Time Type

Full time

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices.

What You'll Be Doing

Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation.
Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines.
Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core).
Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes,



bottlenecks, workplace setups, and CI failure reports.
Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams.
Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency.

What We Need To See

Experience: 2+ years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation.
Education: Bachelor’s degree or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Perforce Expertise: Strong hands-on experience managing Perforce (P4 / Helix Core) streams, workspace specs, changelists, and labels within an active hardware build environment.
Scripting & Programming: Demonstrated proficienc

📌 Front-End Integration Engineer (Bengaluru)
🏢 nvidia ai
📍 Bengaluru