Senior AI Tools Engineer, SRE Operations

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $144k - $230k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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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 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 analyze production data, identify root causes for complex incidents, and identify future operational trends • Lead development of LLM- and Agent-based systems to improve operational efficiency • Establish and maintain data management practices and construct workflows for large-scale data sources vital for model development • Take charge of and enhance LLM-based pipelines while integrating LLM progress into product development • Act as an authority on AI frameworks and recommend platforms, toolsets, and architectural approaches for long-term technical 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 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 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 and a strong grasp of recent developments in LLM training • Understanding of SRE concepts and experience managing production environments • Experience with Kubernetes, AWS, and other cloud technologies • Excellent knowledge of LLMs and AI Models • Proficiency in automation

🏖️ Benefits

• Competitive salary package • Equity • Benefits