Solution Validation Engineer
NVIDIA is hiring a Solution Validation Engineer. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions Python, Bash and Linux among its tools and skills.
- Level classes it as a junior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Validate and debug high-performance networking infrastructure for large-scale AI workloads at NVIDIA.
At NVIDIA, we build the communication fabric solutions that powers the world's most demanding AI workloads. As a Junior Solution Validation Engineer, you'll dive deep into complex, large-scale networking environments — validating, debugging, and improving the systems that make breakthrough AI possible. This is a hands-on, high-impact role where your work directly influences the reliability and performance of next-generation infrastructure.
What you’ll be doing:
- You'll own system-level validation across the full stack — from physical-layer interfaces to cluster-wide telemetry. Day to day, you'll investigate and resolve issues spanning networking, PCIe, InfiniBand, and other high-performance interfaces, driving root-cause analysis and defining corrective actions. You'll build and automate the tools that give our teams deeper visibility into system health, stability, and performance.
- Analyze logs and telemetry data to surface failures, anomalies, and bottlenecks before they become problems, and you'll collaborate closely with hardware, firmware, software, and AI teams to continuously improve debuggability and system resilience. Every investigation you lead and every tool you build makes our infrastructure smarter and more reliable.
What we need to see:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Information Systems, or a related field
- 2+ years of hands-on experience in system validation, networking, or a related engineering field
- Hands-on experience with Linux environments and debugging tools
- Proficiency in Python and/or Bash for automation and scripting
- Experience with telemetry, streaming data systems, or data analysis for cluster health monitoring
- Sharp troubleshooting instincts and a structured approach to problem-solving
- Eagerness to develop architecture-level understanding of complex systems
- Cle
- ar, concise communication skills and strong technical writing ability
Ways to stand out from the crowd:
- Familiarity with PHY, networking protocols, or system architecture
- Experience with AI-driven monitoring and analytics platforms
- Knowledge of MTBI/MTBF analysis and incident investigation methodologies
- Hands-on experience with NVIDIA networking technologies — InfiniBand, Ethernet, or NVLink — in large-scale deployments
You'll work alongside some of the brightest engineers in the industry on technology that matters. We offer competitive compensation, comprehensive health and wellness benefits, equity participation, flexible work arrangements, and continuous learning opportunities. NVIDIA invests in your growth — from mentorship programs to access to cutting-edge tools and research.
NVIDIA is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, or veteran status. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process. If you require an accommodation, please contact us.
How we rate this
Solution Validation Engineer at NVIDIA rates 60 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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 system validation was part of your work. What did you do?
- Tell me about a project where debugging 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 telemetry was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: System Validation, Debugging, Networking, Telemetry, and Automation. 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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