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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Cloud Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience designing and building distributed software systems.
  • A Bachelor of Science or Master of Science degree in Computer Science or a related area, or equivalent experience.
  • Ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust.
  • Ability to design and implement maintainable APIs for consumers.
  • Practical experience with asynchronous programming, type safety, threading models, state machines, and data structures.
  • Background in data persistence using SQL or a similar technology.
  • Understanding of secure communication protocols such as mutual TLS or IPsec.

Responsibilities

  • Work with NVIDIA internal partners.
  • 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 for software the organization leverages and builds.
  • Present roadmaps, vision, and demonstrations to internal stakeholders and NVIDIA leadership.
  • Write services and software aligned with the architectural vision for NVIDIA DSX OS, collaborating with other software engineers, product architects, and product managers to deliver end-to-end solutions for complex cloud infrastructure deployments.
  • Own code throughout development, commit, testing, and production.

Desired Qualifications

  • Experience in a hyperscale cloud service provider, whether public-facing or not.
  • Understanding of networking protocols such as IP, IPv6, BGP, HTTP, ICMP, and tunneling protocols such as VXLAN, Geneve, FoU, and GRE.
  • Background with host management systems such as DHCP, Redfish, and UEFI, and host security services such as TPM, TXT, and SecureBoot.
  • Experience with Kubernetes and/or distributed task scheduling.
  • Knowledge of Site Reliability Engineering principles such as observability, service-level objectives, and logging.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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