NVIDIA
Senior AI Tools Engineer, SRE Operations - GeForce NOW
$144K–$230K
US, CA, Remote +1 · Senior · Full-time · Posted Oct 31, 2026
- Location
- US, CA, Remote
US, CA, Santa Clara - Experience
- 5+ years of experience.
- Education
- B.S. in Computer Science, Statistics, or Engineering (or equivalent experience).
About the job
Builds AI-powered tools for GeForce NOW SRE operations, turning production signals, metrics, and logs into incident root-cause insights and service trend predictions.
What you'll do
- Build and deploy AI/ML tools and LLM- and agent-based systems for operational efficiency and incident analysis.
- Develop and maintain large-scale data pipelines and LLM-based pipelines for production data and model development.
- Recommend AI frameworks, platforms, tools, and architectures for sustainable product development.
What they ask for
- B.S. in Computer Science, Statistics, or Engineering, or equivalent experience.
- Strong Python proficiency and practical experience building, optimizing, and deploying AI tools.
- Hands-on experience with Kubernetes and AWS cloud environments.
- Expertise in automation and large-scale data pipelines; experience using monitoring and visualization tools such as Grafana.
Nice to have
- Understanding of SRE principles and experience managing production environments.
- Experience with LLM improvement pipelines and recent LLM training developments.
Pay
144,000 USD – 230,000 USD base salary
Tools
Python, Go, Kubernetes, AWS cloud, Grafana
AI focus
Develop AI/ML tools, LLM- and agent-based systems, and LLM pipelines to automate incident root-cause analysis, predict operational trends, and improve SRE efficiency.
Model-written summary · the original posting is authoritative