Principal Software Engineer – DGX Cloud

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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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

• Lead and build the future of cloud computing on ambitious projects • Explore innovative ways to simplify development, deployment, and monitoring of GPU- and DPU-accelerated applications • Design and develop software for managing fleets of Kubernetes clusters for GPUs and DPUs • Improve NVIDIA accelerators in Kubernetes environments using Cloud Native technologies • Collaborate with engineering teams across NVIDIA for seamless software integration • Automate and optimize build, test, integration, and release processes for cloud-native applications • Multitask across projects and address evolving priorities

🎯 Requirements

• BS/MS in Computer Science or a related field, or equivalent experience • 15+ years of proven work experience in large-scale environments • Expert-level knowledge of Go and C • Solid understanding of data structures and algorithms • Strong understanding of Kubernetes and container technology • In-depth knowledge of Unix/Unix-like kernel internals, particularly Linux • Hands-on automation experience with modern infrastructure tools and technologies • Proven experience setting up, maintaining, and automating continuous deployment systems • Strong background in cloud computing and distributed software design and development • Understanding of performance, security, and reliability in complex distributed systems • Extensive Go experience • Deep understanding of rack-scale GPU systems • Strong background with GitLab, Argo, Flux, and other CI/CD systems • Significant hands-on experience with containers and Kubernetes • Hands-on experience with container workload isolation and confidential computing

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits