What we need to see: Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). 5+ years of industry experience (or equivalent) in software architecture, hands-on development, AI/ML, applied research, or related fields. Strong background in software or solution architecture, applied AI/ML research, or hands-on development of production-grade AI systems. Industry experience building and shipping AI-powered tools or ML pipelines (not just training models — end-to-end delivery). Strong understanding of LLM capabilities and limitations — prompt engineering, fine-tuning, RAG, agent architectures. Experience with at least two of: reinforcement learning, classical ML, NLP/information retrieval, evaluation framework design. Strong understanding of AI development and evaluation pipelines. Can reason about trade-offs: when to use which approach, with real reasoning backed by shipping experience. Strong programming skills (Python required; familiarity with ML frameworks — PyTorch, HuggingFace, etc.). Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: Experience with LLM-based code generation, code review, or developer tooling. Familiarity with eval frameworks and feedback loop design (online and offline evaluation). Experience with AI agent orchestration (multi-agent systems, tool use, planning). Shown research track record (publications, open-source contributions). Knowledge of AI-assisted development tools and their underlying architectures. 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 employ
