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NVIDIA

Software Architect

NVIDIA is hiring a Software Architect. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include C, Linux and software architecture.
  • Level classifies it as a mid-level role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Architect software for advanced datacenter networking devices, SmartNICs, and DPUs at the intersection of infrastructure and acceleration.

CLinux
software-architecturenetworkingembedded-systemsvirtualization

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and AI for more than 25 years. Today, we are defining the next era of computing, where AI datacenters, GPUs, networking, and accelerated infrastructure work together as one system. We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of NVIDIA networking products, SmartNICs, and DPUs. In this role, you will work closely with system architects, software/firmware engineers, hardware designers and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.

You will join a team working at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. Our mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.

What You’ll Be Doing:

  • Work with architects and engineers to define software architecture for NVIDIA networking devices, SmartNICs, and DPUs.

  • Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.

  • Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.

  • Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.

  • Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.

What We Need To See:

  • Engineer holding a B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

  • 1+ years of relevant experience

  • Proven strong programming skills, in C/C++, preferably for large and complex embedded systems.

  • Solid understanding of operating systems, multi-threading, computer architecture, and software fundamentals.

  • Curiosity and ability to learn new technologies quickly, investigate deeply, and work through ambiguous problems.

  • Independent problem solver who also works well in a team environment.

  • Clear written and verbal communication skills.

Ways To Stand Out From The Crowd:

  • Knowledge of networking protocols such as Ethernet, InfiniBand, RDMA, RoCE, TCP/IP, or congestion control.

  • Experience with Linux, Linux kernel, device drivers, embedded systems, or system software.

  • Experience building simulations, performance models, prototypes, or proof-of-concept software.

  • Exposure to virtualization, security, programmable acceleration, SmartNICs, DPUs, or DOCA.

  • Open-source contribution, previous internship experience, or hands-on project work in relevant technical domains.

NVIDIA is widely considered one of the technology world’s most desirable employers. We are made up of forward-thinking, hardworking people who are passionate about solving some of the world’s most important computing challenges.

NVIDIA is committed to fostering a diverse and inclusive work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

How we rate this

Software Architect at NVIDIA rates 20 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

Software ArchitectureNetworkingEmbedded SystemsVirtualizationCLinux

Questions you could be asked

  1. Tell me about a project where software architecture was part of your work. What did you do?
  2. Tell me about a project where networking was part of your work. What did you do?
  3. Tell me about a project where embedded systems was part of your work. What did you do?
  4. Tell me about a project where virtualization was part of your work. What did you do?
  5. Walk me through how you've used C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Architecture, Networking, Embedded Systems, Virtualization, and C. 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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