Software Engineer, AI-Native Development at NVIDIA

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Programming, Algorithm Design, Computer Architecture, Software Development, AI-Assisted Development Tools, Tool Improvement, Documentation, Experimentation, Feedback, Git, CI/CD, Code Review, Machine Learning, NLP, AI Systems, Scripting

Industry

Computer Hardware Manufacturing

Description

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a motivated AI-Native Software Engineer to join us in shaping the future of software development. Engineers on this team grow fast — they work alongside senior architects, use cutting-edge AI tools daily, and become the organization's first experts in AI-native development practices. As a AI-Native Software Engineer in the AI-Native Development team, you will be embedded in development teams adopting AI-assisted workflows. You will use the tools daily, identify friction points, suggest improvements, and become the team's go-to expert for AI-native development. This is a learning-intensive role with high impact — you will directly shape how the organization builds software with AI. What you'll be doing: Use AI-assisted development tools daily as part of a team building real projects. Identify and report friction points — articulate clearly what works, what doesn't, and why. Contribute to tool improvements based on hands-on experience. Help document best practices, playbooks, and usage guides for broader rollout. Experiment with new AI tools, models, and approaches — evaluate and share findings with the team. Support development teams by providing direct feedback on tools and process during POC development. What we need to see: Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university. 2+ years of industry experience (or equivalent) in system programming or related fields. Background in algorithm design, system programming, and computer architecture Strong programming and software development skills. Already experimenting with AI coding tools on your own — curiosity and initiative are the primary filter. Good communicator — can articulate "this doesn't work because..." clearly and constructively. Eagerness to learn new things rapidly and continuously. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: Personal projects or contributions that demonstrate self-directed AI tool experimentation. Active in developer communities (GitHub, Discord, forums — not just consuming, contributing). Familiarity with development workflows (Git, CI/CD, code review). Coursework or projects in machine learning, NLP, or AI systems. Experience with scripting and automation. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The engineer will use AI-assisted development tools daily on real projects, identifying friction points and contributing to tool improvements based on hands-on experience. They will also help document best practices and experiment with new AI tools, models, and approaches.