What we need to see: B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 3+ years of relevant industry or research experience. Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems. Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack. Shown ability to translate research findings and product requirements into clear software and hardware specifications. Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses. Advanced programming skills for performance modeling, data analysis, and prototyping. Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently. Ways to Stand Out from the crowd: Experience with distributed training, distributed inference, or large-scale AI serving systems. Experience in Agentic programming, and AI tools Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.
