> Markdown version of [/jobs/ext/3716052-evaluation-and-ml-systems-engineer-ai-safety-and-security-engineering](https://www.wearedevelopers.com/jobs/ext/3716052-evaluation-and-ml-systems-engineer-ai-safety-and-security-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Evaluation and ML Systems Engineer, AI Safety and Security Engineering - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Software Safety, Large Language Models, Agentic-AI, Machine Learning Operations, Data Pipelines - **Published:** October 13, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Evaluation-and-ML-Systems-Engineer--AI-Safety-and-Security-Engineering_JR2021888 ## About the Role * Bachelor's degree (or equivalent experience) with 5+ years in ML engineering or evaluation. * Evaluation experience: Designing benchmarks, metrics, and statistically sound comparisons for ML systems. * Measurement rigor: A careful, skeptical approach to metrics, baselines, and claims. * Engineering skills: Solid Python engineering for shared infrastructure, including experiment tracking and data pipelines. Ways to Stand Out from the Crowd: * Security evaluation: Exposure to evaluating security tooling or pipelines. * Agentic systems: Experience measuring agent or LLM behavior. * Community work: Contributions to public benchmarks or evaluation frameworks.