Senior AI Tools Engineer, SRE Operations

🕒 August 4

🏄 California – Remote

🏄 California – Remote

💵 $144k - $230k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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👻 Ghost score 27%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build and deploy sophisticated AI-powered tools and products supporting the operation and optimization of the global GeForce NOW service • Transform production data streams, including signals, metrics, and logs, into actionable intelligence • Automate root cause analysis for incidents and predict future service trends and patterns • Build and implement AI/ML tools to identify root causes of complex incidents and future operational trends • Lead development of LLM- and agent-based systems to improve operational efficiency • Establish and maintain data management practices and build pipelines for large-scale data sources • Enhance LLM-based pipelines and integrate current LLM developments into product development • Serve as an authority on AI frameworks and recommend platforms, toolsets, and architectures for long-term product sustainability

🎯 Requirements

• B.S. in Computer Science, Statistics, or Engineering (or equivalent experience) • 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 how LLM-based platforms are built and optimized • Hands-on experience with Kubernetes and AWS cloud environments • Active engagement with developments in the AI field and ability to distinguish meaningful advances from noise • Expertise in automation and handling large-scale data pipelines • Experience with monitoring and visualization tools such as Grafana • Excellent ability to handle, transform, and manage data sources and pipelines • Understanding of SRE principles and experience managing production environments • Strong knowledge of LLM improvement pipelines and recent developments in LLM training • Knowledge of LLMs and AI models sufficient to recommend sustainable platforms and approaches • Proficiency in automation

🏖️ Benefits

• Equity • Benefits • Competitive salary package

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