# Senior AI Tools Engineer, SRE Operations - GeForce NOW

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $95k-$120k
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-AI-Tools-Engineer--SRE-Operations---GeForce-NOW_JR2018080?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c33c091e-30b

## Description

We are seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. You will build and deploy sophisticated AI-powered tools and products. These tools support the operation and optimization of a critical production global GeForce Now service.

Your responsibilities will include:

- Building and implementing robust AI/ML tools capable of analyzing production data to identify root causes for complex incidents and identify future operational trends.

- Leading the development of brand-new LLM- and Agent-based systems to improve operational efficiency.

- Establishing and maintaining excellent data management practices, including building pipelines to transform and handle large-scale data sources vital for model development.

- Taking charge of and enhancing LLM-based pipelines while integrating a strong grasp of LLM progress into product development.

- Acting 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.

To succeed in this role, you will need:

- A 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.

In addition to your technical skills, you will also need to be able to:

- Understand SRE principles and experience managing production environments.

- Have a strong grasp of recent developments in LLM training.

- Reason and recommend an approach that sustains the team and product long term.

- Prevent grave mistakes by avoiding the wrong platform choice.

- Understand SRE concepts and managing production environments as well as experience with Kubernetes, AWS, and other cloud technologies.

- Be proficient in automation.

## Skills

### Required
- Python
- Go
- AI/ML
- LLM
- Agent-based systems
- Data management
- Container orchestration
- Cloud environments
- Automation
- Monitoring and visualization tools

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-AI-Tools-Engineer--SRE-Operations---GeForce-NOW_JR2018080?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)