Senior System Software Engineer, RTL-to-GDS Flow Platform

Job Title

Senior System Software Engineer, RTL-to-GDS Flow Platform

Role Summary

The Engineering Workflow Platform team builds the control plane and user-facing infrastructure that turn chip-design intent into repeatable production workflows. This role designs and operates workflow stages, generated artifacts, tool execution, validation checks, and shared project state for RTL-to-GDS flows.

Experience Level

Senior-level — the role expects substantial experience (the posting specifies at least 12 years of relevant software engineering experience).

Responsibilities

The engineer will design and operate production workflow control planes and improve reliability, observability, and portability of established engineering automation.

• Design control-plane logic to convert layered configuration and engineering intent into repeatable workflow stages, tool execution, and validation results.
• Model dependencies, manifests, workflow state, retries, recovery, provenance, and machine-readable status.
• Diagnose and prevent production failures related to Linux processes, environment setup, exit codes, shared filesystems, schedulers, and partial writes.
• Modernize legacy Make/Tcl/Perl/Python/shell/YAML infrastructure while preserving behavior for active projects.
• Partner with chip-design, EDA, and infrastructure teams to reproduce failures, deliver compatible migrations, and improve observability.

Requirements

Must-have technical skills and experience.

• Production ownership of workflow, build, release, developer-infrastructure, HPC, storage, or engineering-automation systems with multiple stages, dependencies, and generated outputs.
• Strong Linux and POSIX fundamentals: files, permissions, symlinks, processes, environment variables, exit codes, logs, and background jobs.
• Practical programming experience in Python, C++, Perl, or a comparable language plus shell scripting.
• Familiarity with Make, YAML, JSON, or related infrastructure formats and tooling.
• Experience designing configuration/state models, debugging production failures, and migrating established systems without disrupting active users.

Nice-to-have:

• Semiconductor-design or EDA workflow experience (RTL, synthesis, place-and-route, timing, signoff, ECO, design handoffs).
• Experience with LSF, Slurm, Grid Engine, shared compute infrastructure, or shared filesystems such as NFS.
• Deep ownership of build systems, HPC workflows, release infrastructure, or artifact-centered storage platforms.
• Experience producing structured logs, manifests, provenance records, validation results, or actionable workflow diagnostics.
• Proven ability to modernize legacy Make/Tcl/Perl/Python/shell infrastructure while preserving compatibility and rollback capability.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience. The posting also specifies at least 12 years of relevant software engineering experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.