NVIDIA

Senior Software Engineer - AI Dataset Automation

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Colorado, North Carolina

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Salary

💰 $136,000 - $264,500 per year

Job Level

Senior

Tech Stack

CloudDistributed SystemsGoMavenPython

About the role

  • Integrate third-party scanning tools into a platform, working with external teams to ensure outputs align with our evidence schema and ingestion pipeline.
  • Define and maintain schemas (e.g., CycloneDX) for structured evidence generation and consumption across teams.
  • Design and build a Python-based distributed execution library that teams and tools can use to generate evidence in our required format.
  • Drive efforts to onboard external scanning tools by guiding tool owners through integration, evidence formatting, and upload mechanisms.
  • Collaborate with teams across the company to ensure high-quality evidence generation for software composition analysis and security insights.
  • Write and maintain reliable, scalable components that operate in distributed systems in Python and Go.
  • Contribute to the design and operation of large-scale, resilient scanning infrastructure.
  • Potentially contribute to model development or tooling if experience with AI systems is applicable.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, a relevant field, or equivalent experience.
  • 5+ years working in a Software Engineer role.
  • Strong proficiency in both Python and Go, with experience building production-grade libraries and services.
  • Proven experience integrating and normalizing output from third-party or external tools.
  • Hands-on experience defining and evolving data schemas, ideally with familiarity in CycloneDX or similar SBOM formats.
  • Experience building tools that operate in distributed systems and can handle scale and fault tolerance.
  • Ability to guide cross-functional teams, influence tool adoption, and drive schema compliance from non-reporting systems.
  • Solid understanding of dependency management tools and ecosystems (e.g., pip, npm, Maven, Go modules).
  • Experience with CI/CD environments and secure software development practices.