Senior Software Engineer, Cloud Platform

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

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Logo of NVIDIA

NVIDIA

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

• Work with NVIDIA internal customers • Design and build scalable software systems to manage NVIDIA’s cloud infrastructure • Build network and systems automation software for managing a multi-tenant cloud infrastructure • Participate in open-source communities of software NVIDIA leverages and builds • Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, and demos • Write services and software aligned with the architectural vision for the NVIDIA Cloud Platform • Own code from development through commit, testing, and production • Collaborate with software engineers, product architects, product managers, and other teams to deliver end-to-end software solutions

🎯 Requirements

• 8+ years of experience with designing and building distributed software systems • BS/MS degree in Computer science or related areas (or equivalent experience) • Demonstrated ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust • Demonstrated ability to design and implement maintainable APIs for consumers • Practical experience with asynchronous programming, type safety, threading models, state machines and data structures • Background of data persistence (SQL or similar) • Understanding of secure communication protocols (mutual-TLS, IPsec, or similar) • Experience in a Hyperscale Cloud Service Provider (public facing or not) • Understanding of networking protocols such as IP, IPv6, BGP, HTTP, ICMP, tunneling protocols (VXLAN, Geneve, FoU, GRE), etc. • Background with Host management systems (DHCP, Redfish, UEFI) and host security services such as TPM, TXT, and SecureBoot • Kubernetes and/or distributed task scheduling • Knowledge of SRE principles (observability, SLOs, logging, etc.)

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