Senior AI Tools Engineer, SRE Operations – GeForce NOW
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. Applicants with SRE or equivalent experience are encouraged.
You will build and deploy sophisticated AI-powered tools and products to support the operation and optimization of a critical production global Geforce Now service, transforming extensive production data streams into actionable intelligence to automate root cause analysis and predict future service trends.
Key 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 building pipelines to transform 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.
Qualifications
- 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.
Nice to have
- Understanding of SRE principles and experience managing production environments.
- Strong in LLM improvement pipelines as well as a strong grasp of recent developments in LLM training.
- Excellent knowledge of LLMs and AI Models to recommend approaches that sustain the team and product long term.
- Experience with Kubernetes, AWS, and other cloud technologies.
- Proficiency in automation.
Benefits
- Competitive salary package
- Comprehensive benefits
Job details
- Base salary range: 144,000 USD – 230,000 USD (determined based on location, experience, and other objective job-related factors)
- Application deadline: At least until November 4, 2026
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
Today, the company is tapping into the unlimited potential of AI to define the next era of computing, with GPUs acting as the brains of computers, robots, and self-driving cars.
NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work and make a lasting impact on the world.
Additional information
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
