Senior AI Tools Engineer, SRE Operations

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: CanadaSanta Clara, CA
Salary: $144,000–$230,000 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k

This role $187k

$131k $267k

below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $177,187–$235,750 — the blue band above. At the midpoint, this role pays about $187k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1763 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1151 roles with salary data.

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At a glance

TL;DR · Senior AI Tools Engineer, SRE Operations

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The Senior AI Tools Engineer, SRE Operations - GeForce NOW joins the Site Reliability Engineering Data Team to build and deploy sophisticated AI-powered tools for a global production service. You will transform production data streams, including signals, metrics, and logs, into actionable intelligence to automate root cause analysis and predict future service trends. Key responsibilities include developing LLM- and Agent-based systems, building data pipelines for large-scale sources, and establishing data management practices. Required skills include Python, experience with Go, and proficiency in container orchestration using Kubernetes and AWS cloud environments. You must demonstrate expertise in AI frameworks, automation, and monitoring tools like Grafana. This role solves the technical challenge of improving operational efficiency and ensuring long-term technical sustainability through advanced AI model integration.

Skills

Python Go LLM AI Kubernetes AWS SRE Data Pipelines Grafana Automation Container Orchestration Monitoring

What you'll do

Build and deploy sophisticated AI-powered tools to support the operation of the GeForce Now service.
Transform production data streams like signals, metrics, and logs into actionable intelligence for automated root cause analysis.
Develop LLM- and Agent-based systems to improve operational efficiency and predict future service trends.
Build and maintain pipelines to manage large-scale data sources required for model development.
Enhance LLM-based pipelines by integrating current advancements in the field into product development.
Act as a technical authority on AI frameworks to recommend sustainable platforms, toolsets, and architectural approaches.
Automate incident management processes using AI/ML tools to identify complex issues and operational patterns.

What we're looking for

Bachelor's degree in Computer Science, Statistics, Engineering, or equivalent experience.
5+ years of professional experience.
Strong proficiency in Python and familiarity with Go or other systems languages.
Practical experience building, optimizing, and deploying AI tools and LLM-based pipelines.
Hands-on experience with container orchestration (Kubernetes) and cloud environments (AWS).
Expertise in automation and managing large-scale data pipelines.
Experience using monitoring and visualization tools such as Grafana.
Understanding of SRE principles and experience managing production environments.

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