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NVIDIA

Senior Software Engineer, Cloud Platform

NVIDIA is hiring a Senior Software Engineer, Cloud Platform in Taipei, Taiwan. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Kubernetes, Linux and C among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,600+ other open roles on Level.

AI in this role

Senior software engineer building accelerated compute cloud services and managing multi-tenant infrastructure.

kuberneteslinuxcgolangrustsql
distributed-systemscloud-infrastructurenetworkingsystems-programming

The NVIDIA DSX OS organization is looking for software engineering talent to build NVIDIA’s accelerated compute cloud services. These services include software to manage hardware and network provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to deliver end-to-end software solutions to manage complex cloud infrastructure deployments.

You will write services and software that aligns with the broad architectural vision for NVIDIA DSX OS, working with other teams to develop a robust and scalable system. You own your code - from development to commit to test to production. We expect you to be passionate about code quality, testing, deployment efficiency/simplicity and bringing amazing products to market.

What you will be doing:

  • Work with NVIDIA internal partners

  • Design and build scalable software systems to manage NVIDIA’s cloud infrastructure.

  • Building network and systems automation software for managing a multi-tenant cloud infrastructure

  • Participate in open-source communities of software we leverage and build.

  • Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos

What we need to see:

  • 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).

Ways to stand out from the crowd:

  • 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.)

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

How we rate this

Senior Software Engineer, Cloud Platform at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsCloud InfrastructureNetworkingSystems ProgrammingKubernetesLinuxCGolang

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  3. Tell me about a project where networking was part of your work. What did you do?
  4. Tell me about a project where systems programming was part of your work. What did you do?
  5. Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Cloud Infrastructure, Networking, Systems Programming, and Kubernetes. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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