Principal Engineer, Data Center Power Software

🕒 April 23

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Logo of NVIDIA

NVIDIA

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

• Gathering use cases + requirements, translating those into software roadmaps, and executing those roadmaps across internal NVIDIA teams and external partners. • Reporting project status, risks, help needed, and roadmap pivots to internal and external executives via status reports and in-person meetings. • Brokering technical discussions between highly technical subject matter experts • Leveraging AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code. • Architecting distributed, robust, and scalable GoLang and Rust system software, deployed to monitor and manage large datacenters

🎯 Requirements

• BS or higher in Computer Science or equivalent experience. • 15+ years of meaningful industry experience with a strong scalable system software development background • Experience with APIs and interface design. • Experience with AI tools and development workflows • Outstanding written and verbal interpersonal skills. • Business level English. • Strong motivation and commitment to learn new skills • Ability to manage time in a fast, heavily multitasked environment. • Development experience with Rust, Python, and/or GoLang. • Development experience with distributed systems and concurrent applications, especially in a Kubernetes environment • Ability to quickly understand unfamiliar technical domains, identify core problems, and translate ambiguous requirements into actional engineering plans. • Skilled at producing clear technical documentation, design docs, and status updates that keep cross-functional partners aligned. • Track record of identifying process inefficiencies and introducing automation, tooling, or AI-power workflows that measurably improve team out.

🏖️ Benefits

• equity • benefits

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