NVIDIA
From NVIDIA's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are looking for a talented Software Engineer to join the AI Solutions team in NVIDIA's Linux Networking Drivers organization.
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.
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.
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.
Experience evaluating the quality of LLM-based systems.
Knowledge of the Linux kernel, networking, or device drivers.
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.
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