Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 3
ArgoCD @ 3
Celery @ 3
Claude Code @ 3
Codex @ 3
Docker @ 3
FastAPI
Git @ 3
GitHub
Kubernetes @ 3
LLM @ 3
Linux @ 3
OpenShift
PostgreSQL
Python @ 5
React @ 3
Redis @ 3
SQL @ 3
Security @ 3
TypeScript @ 3
Vault
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA's Vulnerability Operations organization is seeking a Security Software Engineer to help operate and improve its AI-powered vulnerability operations platform. The platform uses LLM agents to scan tens of thousands of repositories and live web applications across NVIDIA, then unifies, verifies, and routes findings to the engineers who can fix them. This role offers ownership of production responsibilities, including maintaining the scanning fleet, improving the triage experience, and ensuring data quality.
Responsibilities
- Support day-to-day operations of the vulnerability management hub and its two AI scanning engines.
- Monitor scan fleets and worker queues, investigate stuck or failed scans, and ship fixes.
- Build and maintain features across the stack using Python, FastAPI, React, TypeScript, and PostgreSQL.
- Triage feedback from security engineers and repository owners by reproducing bugs, running SQL data reconciliations, and closing the loop with users.
- Operate the GitOps deployment pipeline using Kubernetes/OpenShift, ArgoCD, and Vault.
- Ship releases to staging and production, rotate secrets, and validate rollouts.
- Improve scan coverage and data quality through asset inventory across GitLab, GitHub, Gerrit, and Perforce; ownership attribution; finding lifecycle management; and deduplication logic.
- Work with senior engineers on the LLM agent harnesses used for scanning and verification.
Requirements
- Bachelor's degree in computer science, engineering, or equivalent experience.
- 1–3 years of software engineering experience, including internships, with solid Python fundamentals.
- Working knowledge of SQL and relational databases.
- Comfort working in Linux and Git environments, with a willingness to debug across unfamiliar systems.
- Interest in security and motivation to develop security expertise.
- Strong ownership instincts, including following problems to root cause and communicating clearly.
Preferred Qualifications
- Frontend experience with React and TypeScript.
- Exposure to Docker, Kubernetes, ArgoCD, GitOps, or job-queue and worker architectures such as Redis, Celery, or ARQ.
- Hands-on experience with LLM APIs, agent frameworks, or coding agents such as Claude Code, Codex, or opencode.
- Security fundamentals demonstrated through CTF participation, security coursework, bug bounty writeups, or certifications such as Security+ or eJPT.
- Contributions to open-source projects or a portfolio of shipped side projects.
Compensation and Benefits
- Base salary for Level 2: USD 124,000–195,500 per year.
- Base salary for Level 3: USD 152,000–241,500 per year.
- Eligibility for equity and benefits.
- Applications will be accepted at least until September 6, 2026.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
More jobs at Nvidia
Senior NPI Program Manager
Nvidia · Santa Clara, United States
USD 168,000-258,800 per year
GPU PCIe and Boot Architect - New College Grad 2026
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
Senior AI Engineer, High Performance AI
Nvidia · Santa Clara, United States
USD 152,000-241,500 per year
Senior Salesforce CPQ Developer
Nvidia · Santa Clara, United States
USD 176,000-276,000 per year
Senior Technical Program Manager - LLM Safety
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Similar jobs
Staff Backend Software Engineer, Agent Platform
SentinelOne · United States
USD 156,000-215,000 per year
Staff Forward Deployed Engineer, Agentic SDLC
GitLab · United States
USD 254,000-297,000 per year
Senior SOCD Applied AI Engineer
Nvidia · Santa Clara, United States
USD 168,000-310,500 per year
Senior AI Engineer
Grafana Labs · United States
USD 154,400-185,300 per year
Senior AI Engineer
Grafana Labs · Canada
CAD 164,500-197,400 per year
Offensive Security Engineer, Agent Products
OpenAI · United States, Washington, United States, New York City, United States, San Francisco, United States, Seattle, United States
USD 347,000-490,000 per year
Senior Architect, Agentic AI for Marketing
Nvidia · Santa Clara, United States
USD 224,000-356,500 per year
Senior Software Engineer, Agent Platform
SentinelOne · United States
USD 132,000-182,000 per year