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, environment 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 proficiency in Python, Tcl, and Bash/Shell scripting for flow development and task automation.
EDA Tools Familiarity: Practical experience with front-end ASIC tools (e.g., SpyGlass, Build Compiler, or Xcelium).
A standout colleague who possesses great interpersonal skills
Problem Solving: Strong diagnostic and fixing skills with the ability to resolve front-end build and flow issues under project deadlines.
Ways to Stand Out from the Crowd:
P4 Automation & Triggers: Experience writing custom P4 Python scripts or Perforce pre-submit/post-submit triggers to enforce check-in policies automatically.
Dashboards development: Hands-on proven experience building automated regression reporting tools, Slack/Teams notifications, or dashboards to track pipeline health and coverage.
Verification experience is plus
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- 2+ years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation
- Bachelor's 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
- 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 problem-solving skills for resolving front-end build and flow issues under project deadlines
- Great interpersonal and collaboration skills
- Experience writing custom P4 Python scripts or Perforce pre-submit/post-submit triggers
- Experience building automated regression reporting tools, Slack/Teams notifications, or pipeline health dashboards
- Verification experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
