Senior Production Engineer – DGX Cloud

🔥 15 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🏭 Production Engineer

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👻 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 operate production software, automation, and tooling for control plane services, model deployments, and inference and agentic workloads across DGX Cloud environments • Improve the reliability of inference and agentic platforms and services, including NVIDIA Cloud Functions, SGLang- and vLLM-based endpoints, and inference services built with NVIDIA Dynamo • Improve endpoint availability, inference routing, capacity management, and service health • Use infrastructure as code and GitOps to deploy, configure, validate, upgrade, and recover services consistently across environments • Build workflows for service enablement, model releases, handoff, deprecation, and ongoing operations • Define and instrument SLIs and SLOs for inference and control plane services and use error budgets to guide reliability improvements • Participate in on-call and incident response, troubleshoot failures, and turn recurring issues into automation and durable fixes • Collaborate with model, platform, storage, networking, security, and GPU infrastructure teams to design and operate services safely at scale

🎯 Requirements

• 8+ years of experience building or operating production services and large-scale distributed systems, including hands-on automation • Strong programming skills in Python, Go, or a comparable language • Experience developing tools for production operations • Experience with infrastructure as code, configuration management, or GitOps • Experience building automation for repeatable service deployments and changes • Strong knowledge of Linux, Kubernetes, containers, cloud infrastructure, distributed systems, and networking fundamentals • Ability to diagnose failures in production • Understanding of SRE principles, including SLIs, SLOs, error budgets, incident response, and reducing operational toil • Experience instrumenting services and using metrics, logs, and traces to understand system behavior and improve reliability • Clear technical communication and ability to work across engineering teams • BS/MS in Computer Science or equivalent experience

🏖️ Benefits

• Equity • Benefits