Software Verification Engineer
NVIDIA is hiring a Software Verification Engineer. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Python, Docker and Kubernetes.
- Level classifies it as a mid-level role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
Software Verification Engineer to design simulation apps and test environments for high-speed networking and AI workloads.
We are seeking a talented and driven Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domain of high-speed networking. You will play a crucial role in simulating InfiniBand networks and NVLINK interconnects and verifying complex software products that deliver advanced networking services for high-performance computing, machine learning, and AI workloads.
What You'll Be Doing:
- Design and develop simulation applications that model large-scale, high-speed networks — enabling verification of software features that cannot be validated on physical hardware.
- Build and maintain automated test environments for high-end hardware and software, ensuring the robustness and reliability of our networking software stack using state-of-the-art testing platforms.
- Collaborate closely with Software, Firmware, and Architecture teams to understand new network technologies and ensure accurate modeling within your simulation applications.
- Improve product quality by expanding test coverage and defining comprehensive verification strategies.
What We Need to See:
- Bachelor's degree in Computer Science or a related field, or equivalent experience.
- 2+ years of experience in software engineering roles, with a track record of collaborative problem-solving.
- Proficiency in Python programming.
- Familiarity with developing modern Software Verification Systems, with a strong interest in algorithms.
- Good background in designing, implementing, and debugging software, including experience in Linux environments.
Ways to Stand Out from the Crowd:
- Knowledge of C/C++ programming.
- Experience with Docker and Kubernetes.
- Understanding of the OCI/network model.
Joining NVIDIA means being part of an exceptionally hard-working and ambitious team. We thrive on innovation and collaboration, and we strictly adhere to our mission of delivering world-class products. This is your chance to compete at the highest levels in the tech industry and influence the future of AI and supercomputing. We value our employees and provide an encouraging, inclusive environment where you can grow your career and achieve your goals. Be part of something truly groundbreaking and make a significant impact on the world!
How we rate this
Software Verification Engineer 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where software verification was part of your work. What did you do?
- Tell me about a project where simulation was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
- Tell me about a project where high performance computing was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Verification, Simulation, Networking, High Performance Computing, and Python. 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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