NVIDIA·Software Engineer·Onsite - System Design / Architecture·Senior

Senior

Jun 2026

Summary

NVIDIA system design round for a software engineer role, heavy on Git workflows and CI/CD for a graphics testing context. One big open-ended question that sprawled into about six sub-topics. Felt like they were probing whether you'd actually shipped something at scale or just read about it.

Questions Asked (1)

Design a Git branching and release strategy for a graphics testing repository. Walk through code review process, protected branches, how you'd version large test assets like textures, whether you'd use submodules or a monorepo, how you'd bisect regressions, revert bad changes, keep builds reproducible, and how Jenkins would fit in for gated merges.

System DesignTechnical Trade-offsAPI & Integrations

Author's notes

This is genuinely one question but it kept branching (no pun intended) into new territory every time I thought I was wrapping up a section.

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AI HintsAI Generated

Suggested Approach

Structure your answer around a clear branching model (e.g., GitFlow or trunk-based with release branches) that separates code from large test assets, and explain how each component—code review, protected branches, asset versioning, build reproducibility, and Jenkins gating—fits into that model. Emphasize trade-offs (e.g., monorepo vs. submodules, Git LFS vs. artifact repositories) and tie decisions back to the needs of a graphics testing repository at NVIDIA (large binaries, frequent regressions, reproducibility).

Pro tip: For large test assets, avoid storing them directly in Git; use Git LFS or an artifact repository (e.g., Artifactory) with content-addressable storage, and reference them via manifests or submodules. This keeps the repo lean and builds reproducible while still allowing versioning.

1. Define branching and release strategy

Propose a branching model (e.g., main, develop, release/*, feature/*, hotfix/*) that supports parallel development and stable releases. Explain how release branches are cut, versioned (semver), and tagged for reproducibility.

2. Establish code review and protected branches

Describe a mandatory code review process with at least one approver, using pull requests and protected branches (e.g., main, release/*) that require status checks (CI) and up-to-date branches before merge.

3. Handle large test assets and repository structure

Choose between monorepo and submodules based on team size and coupling; for large assets, recommend Git LFS or an external artifact repository with versioned manifests. Explain how to keep assets in sync with code versions.

4. Implement regression bisecting and revert strategy

Use git bisect with automated test scripts to pinpoint regressions; for reverts, prefer git revert on a hotfix branch to maintain history, and ensure reverts are also reviewed and tested.

5. Ensure reproducible builds and Jenkins gating

Pin dependencies and toolchain versions (e.g., via lockfiles, Docker images) for reproducibility. Integrate Jenkins to run gated merges: on PR, trigger builds and tests; only merge if all checks pass, and use Jenkins to automate release tagging and asset publishing.

Key Points to Mention

Git LFS or artifact repository for large test assets (textures) with versioned manifests
Protected branches with required status checks and code review approvals
Monorepo vs. submodules trade-offs: monorepo simplifies dependency management but can bloat; submodules isolate assets but add complexity
git bisect with automated test scripts to efficiently find regression commits
Reproducible builds via pinned dependencies, Docker, and deterministic build processes
Jenkins pipeline for gated merges: run tests on PR, block merge on failure, and automate release tagging

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.