Note: The job is a remote job and is open to candidates in USA. NVIDIA is a technology company advancing computer graphics, gaming, accelerated computing, and AI. The Senior AI Tools Engineer will build and deploy AI-powered tools for the GeForce NOW production service, transforming signals, metrics, and logs into actionable intelligence for automated incident root-cause analysis and service trend prediction. The role will lead LLM- and agent-based systems, data workflows, LLM pipelines, and AI framework strategy within the SRE Data Team.
Responsibilities
- Build and implement robust AI/ML tools capable of analyzing production data to identify root causes for complex incidents and identify future operational trends
- Lead the development of brand-new LLM- and Agent-based systems to improve operational efficiency
- Establish and maintain excellent data management practices, including constructing workflows to convert and handle large-scale data sources vital for model development
- Take charge of and enhance LLM-based pipelines while integrating a strong grasp of LLM progress into product development
- Act as a resident authority on AI Frameworks, recommending the best platforms, toolsets, and architectural approaches to ensure the long-term technical sustainability of the product
Skills
- B.S. in Computer Science, Statistics, or Engineering (or equivalent experience), and 5+ years of experience
- Strong proficiency in Python; familiarity with Go or other systems languages is a plus
- Practical experience building, optimizing, and deploying AI tools
- Strong knowledge of the AI space and current developments, including understanding how LLM-based platforms are built, optimized, and which platforms work best
- Hands-on experience with container orchestration (Kubernetes) and cloud environments (AWS cloud)
- Active engagement with developments in the AI field and the ability to distinguish meaningful advances from noise when making technical decisions
- Expertise in automation and handling large-scale data pipelines
- Experience applying monitoring and visualization tools, such as Grafana, to interact with data
- Excellent ability to handle data sources and pipelines to transform and manage data
- Current experience in LLM improvement pipelines as well as a strong grasp of recent developments in LLM training
- Understanding of SRE concepts and experience managing production environments, as well as experience with Kubernetes, AWS, and other cloud technologies
- Someone with excellent knowledge of LLMs and AI Models who can reason and recommend an approach that sustains the team and product long-term. (This person helps prevent grave mistakes by avoiding the wrong platform choice.)
- Proficiency in automation
Benefits
- Equity
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