Senior Scientist, Synthetic Data and Privacy

Senior Scientist focused on synthetic data and privacy for LLMs. Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization; optimize low-latency, high-throughput inference (distillation, quantization); scale frameworks for real-time usage; design and maintain open-source libraries and SDKs with robust APIs and documentation; publish original research at top conferences to sustain NVIDIA’s leadership; mentor interns and junior researchers. Collaborate with research, engineering, product teams, and external labs; contribute to NVIDIA NeMo ecosystem; pursue multilingual and multimodal data evaluation and privacy-preserving techniques; drive software excellence with modern tooling and CI/CD. PhD or equivalent and a track record of impactful research and software contributions are expected.