Software Engineer - AI Solutions
NVIDIA is hiring a Software Engineer - AI Solutions. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include RAG and AI agents.
- 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
We are looking for a talented Software Engineer to join the AI Solutions team in NVIDIA's Linux Networking Drivers organization. Our mission is to bring AI into every stage of how we build software: design, development, verification, debugging, and release. We build AI agents and tools that make our engineers faster and our drivers better.
This is a hands-on development role in a field that changes every few months. You will turn new AI capabilities into solutions that engineers use every day, and you will help decide where AI can make the biggest difference next. If you are passionate about AI and want to apply it to a complex, real engineering domain, we want to hear from you.
What you will be doing:
- Design, develop, and deploy AI agents and tools for the software development lifecycle.
- Work with developers and verification engineers to understand their workflows and find where AI can help most.
- Measure the quality of AI solutions and improve them based on data.
- Connect AI solutions to engineering systems and data, and run them reliably in production.
- Follow the fast progress of AI models and tools, and bring the best of them into the team's work.
What we need to see:
- B.Sc. in Computer Science, Software Engineering, or a related field, or equivalent experience.
- 3+ years of software development experience.
- Strong Python skills. You build well-structured systems, not just scripts.
- Hands-on experience building applications with LLMs, such as agents, tool use, or RAG.
- Strong problem-solving skills and the ability to take a feature from idea to production.
- Excellent verbal and written English. We are a multi-language team that works across sites and time zones.
Ways to stand out from the crowd:
- Experience evaluating the quality of LLM-based systems.
- Knowledge of the Linux kernel, networking, or device drivers.
- Experience with test automation or verification.
- Full stack or DevOps experience.
- A track record of AI tools that real users adopted.
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
Software Engineer - AI Solutions at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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
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
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: RAG and AI agents. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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