NVIDIA
Semiconductor
StaffSystemSoftwareEngineer,RTL-to-GDSFlowPlatform
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff System Software Engineer, RTL-to-GDS Flow Platform at NVIDIA. Skills: RTL-to-GDS Flow, System Software Engineering, Automation Infrastructure, EDA Tool Integration. Build and modernize production RTL-to-GDS flow infrastructure. Extend YAML/configuration systems to model workflow intent”
Industry & Context.
Envision and evolve legacy infrastructure into a cleaner, more structured system; Reason about layered configuration; Debug failures across complex systems; Improve legacy production systems
What They're Looking For.
Must Have
B. S. or M. S. in CS, EE, CE, or equivalent experience, 12+ years building, modernizing, or operating production EDA, VLSI CAD, RTL-to-GDS, physical design, or large engineering workflow systems, hands-on experience with RTL-to-GDS or implementation flows, including setup, generated collateral, tool launch, checks, timing/signoff handoff, and debug workflows, Tcl and Make experience in real EDA automation environments, practical software engineering skill in Python, Perl, Go, or C++, Ability to reason about layered configuration, includes, overrides, variable expansion, generated outputs, validation state, and compatibility with older projects, Excellent Linux debugging fundamentals, track record of improving legacy production systems without breaking active users
Nice to Have
Background with production flows using commercial synthesis, place-and-route, timing, extraction, DRC/LVS, power, or signoff tools, Experience designing workflow engines, runset generators, configuration systems, template-driven automation, or job-control infrastructure, Background with distributed schedulers and shared compute environments such as LSF, Slurm, Grid Engine, or similar systems, Experience with NFS-heavy shared filesystems, stale state, partial writes, generated input files, provenance tracking, and reproducibility issues, Experience building structured checks, validation markers, data-fidelity tracking, dependency tracing, observability, or better-tested legacy Tcl/Make/Perl replacements
What You'll Do.
Build and modernize production RTL-to-GDS flow infrastructure
Extend YAML/configuration systems to model workflow intent
and related launch infrastructure
Build faster prelaunch and in-run checks
Develop job-control and observability capabilities
Partner with design and CAD users to debug failures
How You'll Work.
Team & Collaboration
Partner with design and CAD users
Full Job Description
The VLSI Productivity and Infrastructure team supports 1000+ chip design engineers with strong automation and workflows necessary to create world-changing silicon. We are building the next generation of production semiconductor design-flow infrastructure: a control-plane-driven RTL-to-GDS platform that turns design intent, configuration, generated collateral, EDA tool execution, distributed jobs, validation checks, and shared project state into observable, repeatable implementation workflows. This role is for a senior flow/platform engineer who can work across synthesis, physical design, timing, signoff, ECO, and hierarchical execution. If you can envision and evolve legacy Tcl/Make/Perl/YAML infrastructure into a cleaner, more structured system while keeping active projects running, this role is for you! **What You 'll Be Doing:** * Build and modernize production RTL-to-GDS flow infrastructure across synthesis, place-and-route, timing, signoff, ECO, and handoff workflows * Extend YAML/configuration systems to model workflow intent, stage contracts, validation markers, generated artifacts, override order, and backward-compatible project behavior * Improve Make, Perl, Tcl, Python, and related launch infrastructure for generated runsets, EDA tool setup, distributed execution, status tracking, and failure diagnosis * Build faster prelaunch and in-run checks for missing inputs, stale generated files, invalid hooks, broken environment setup, bad constraints, and inconsistent design state * Develop job-control and observability capabilities for hierarchical and internally launched workflows, including parent-child job attachment, logs, provenance, and structured status * Partner with design and CAD users to debug failures across EDA tools, Linux environments, shared filesystems, schedulers, generated collateral, and configuration layers **What We Need To See:** * B.S. or M.S. in CS, EE, CE, or equivalent experience * 12+ years building, modernizing, or operating productio
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