Front-End Integration Engineer
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- Python
- Tcl
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.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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