Senior Production Engineer – DGX Cloud

🕒 July 7

⛰️ Colorado, North Carolina, +2 more states – Remote

⛰️ Colorado – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $168k - $333.5k / year

⏰ Full Time

🟠 Senior

🏭 Production Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. • This includes working on custom software related to GPU asset provisioning, configuration, and lifecycle management across cloud providers. • Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. • You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. • Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. • Evaluating system failures and improving services based on a well-defined incident management process.

🎯 Requirements

• Direct experience in a Production Engineering/DevOps/SRE role within a highly technical organization with demonstrable impact from your work. • Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies. • 8+ years in similar role and experience on large-scale production systems. • Experience with the aforementioned Production Engineering/DevOps/SRE principles, tools and techniques. • You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience. • Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.

🏖️ Benefits

• equity • benefits