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NVIDIA

Senior Software Engineer, DOCA SDK

NVIDIA is hiring a Senior Software Engineer, DOCA SDK. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions C, Linux and Dpdk among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Develop core networking and hardware-accelerated software components for NVIDIA's AI infrastructure and SmartNIC platform.

clinuxdpdkrdma
software-engineeringnetworkingkernel-development

We are looking for a Senior Software Engineer to join our team developing the core technologies behind NVIDIA's SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the NVIDIA DOCA SDK (NVIDIA DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

  • Architect, design, and develop next-generation networking acceleration technologies.

  • Build and enhance core software components within the NVIDIA DOCA SDK.

  • Work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.

  • Collaborate across the software stack, including applications, virtualization, drivers, Linux kernel, firmware, and hardware teams.

  • Drive technical decisions and contribute to the design of performant, maintainable software.

What we need to see:

  • B.Sc. in Computer Science, Software Engineering, or equivalent practical experience.

  • 8+ years of experience developing in C/C++

  • Experience with Linux development tools and debugging.

  • Solid understanding of networking concepts and protocols (such as Ethernet, TCP/IP, or similar).

  • Experience with virtualization technologies.

  • Strong analytical and problem-solving skills.

  • Experience optimizing software performance.Good understanding of operating systems and computer architecture.

Ways to stand out from the crowd:

  • Experience developing high-performance or low-latency software.

  • Background with DPDK, RDMA, or similar networking technologies.

  • Experience designing APIs or SDKs.

  • Contributions to open-source projects such as DPDK, OVS, or the Linux Kernel.

  • A collaborative mindset, curiosity, and excellent communication skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're passionate about solving complex technical challenges and building software that powers the future of AI and cloud infrastructure, we'd love to hear from you.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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

Senior Software Engineer, DOCA SDK at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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 EngineeringNetworkingKernel DevelopmentCLinuxDpdkRdma

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 software engineering 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 kernel development was part of your work. What did you do?
  4. What's a project where you used C hands-on?
  5. Walk me through how you've used Linux in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Networking, Kernel Development, C, and Linux. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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