NVIDIASoftware 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.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Python, Docker and Kubernetes among its tools and skills.
- Level classes it as a mid-level role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Software verification engineer to design network simulators and build automated tests for high-performance computing workloads.
We are seeking a driven Software Verification Engineer committed to excellence to join our innovative team and tackle challenges in high-speed networking. You will play a key role in simulating InfiniBand networks and validating 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 applications that simulate large-scale, high-speed networks, which are essential for testing software features that cannot be validated on physical hardware.
Build automated tests in a simulated environment for high-end hardware and software to ensure the robustness and reliability of our networking software stack using advanced testing platforms.
Collaborate with Software, Firmware development, and Architecture teams to foster open communication, understand new network technologies, and work together to ensure accurate modeling in your simulation applications.
Improve product quality by enhancing test coverage and developing comprehensive verification strategies.
What We Need to See:
Bachelor’s degree in computer science or a related field, or equivalent experience.
Proven experience of at least 3 years in similar roles, emphasizing collaborative problem-solving.
Proficiency in Python programming.
Familiarity with developing modern Software Verification Systems, with a strong interest in algorithms.
Strong skills in implementing and debugging software, including experience working in a Linux environment.
Ways to Stand Out from the Crowd:
Understanding of the OCI/network model.
Knowledge of C/C++ programming.
Experience with Docker and Kubernetes.
A scripting background (e.g., Bash, Groovy).
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!
#LI-Hybrid
How we rate this
Software Verification Engineer at NVIDIA rates 15 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
- What's a project where you used Python hands-on?
- Walk me through how you've used Docker in your day-to-day work.
- What are the limits of Kubernetes that you've run into, and how did you work around them?
- What's a project where you used Bash hands-on?
- Walk me through how you've used C Plus Plus in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Python, Docker, Kubernetes, Bash, and C Plus Plus. 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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