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NVIDIA

Designs the chips and software that power AI

Front-End Integration Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation.
  • A bachelor's degree or master's degree, or equivalent experience, in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong hands-on experience managing Perforce (P4/Helix Core) streams, workspace specifications, changelists, and labels in an active hardware build environment.
  • Demonstrated proficiency in Python, Tcl, and Bash/Shell scripting for flow development and task automation.
  • Practical experience with front-end ASIC tools such as SpyGlass, Build Compiler, or Xcelium.
  • Strong diagnostic and troubleshooting skills, including resolving front-end build and flow issues under project deadlines.

Responsibilities

  • Own and maintain Continuous Integration pipelines; monitor, complete, and fix daily and nightly CI flows in front-end build areas, including lint, synthesis, equivalence checking, and simulation.
  • Build, develop, and maintain automation scripts using Python, Tcl, and Shell to integrate EDA tools, including Synopsys and Cadence, into automated build pipelines.
  • Maintain multi-IP branch and stream strategies in Perforce, manage workspace specifications, complete hardware build drops, and handle release labels and tags in Perforce Helix Core.
  • Serve as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports.
  • Implement automated check-in and changelist triggers to run sanity checks, linting, and style enforcement before code is committed to main streams.
  • Monitor compute-farm resources using LSF and storage usage to reduce pipeline runtime and improve execution efficiency.

Desired Qualifications

  • Experience writing custom P4 Python scripts or Perforce pre-submit/post-submit triggers to enforce check-in policies automatically.
  • Hands-on experience building automated regression-reporting tools, Slack/Teams notifications, or dashboards to track pipeline health and coverage.
  • Verification experience.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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