NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA's purposeful Trustworthy AI Team as a research scientist focusing on Low-Resource Language Models and Language-Based AI Products. This outstanding role centers on advancing our work in low-resource language large language models (LLMs) and AI tools, encouraging linguistic equity, cultural preservation, and responsible AI development. As a groundbreaking team member, you will help bridge gaps between technical goals and community needs, ensuring our innovative language inclusion projects are flawlessly implemented. What you'll be doing: Lead and coordinate initiatives that support low-resource language AI projects, aligning them with NVIDIA's ambitious organizational goals. Engage with linguists, language communities, NGOs, researchers, and policymakers to inform and successfully implement program priorities. Maintain AI model behavioral policies to ensure alignment with ethical standards, legal requirements, and user impacts across diverse contexts. Contribute to the broader policy landscape by promoting NVIDIA’s AI behavior guidelines and providing feedback to the community to support responsible AI development. Identify linguistic tactics used to bypass guardrails and develop adversarial test sets or fine-tuned models to strengthen AI defenses against prompt circumvention. Identify and mitigate potential ethical, sociocultural, and governance risks, in collaboration with responsible AI and legal teams. What we need to see: 5+ years of experience in program or product management, preferably in AI/ML, NLP, or social impact technology. Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field or a Bachelor’s degree (or equivalent experience) in one of these fields with substantial industry experience in natural language processing (NLP), adversarial ML, and dataset creation for AI models may also be acceptable.Proven track record of managing interdisciplinary and multicultural projects. Strong organizational and communication skills, with an emphasis on documentation, prioritization, and reporting. Familiarity with LLMs, language data lifecycles, or multilingual NLP. Passion for linguistic diversity, digital equity, and inclusive AI. Ways to stand out from the crowd: Background in computational linguistics, sociolinguistics, or data governance. Experience with international or community-centered technology projects. Fluency or proficiency in a non-English, especially a low-resource language. Experience in open-source, humanitarian tech, or nonprofit environments. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/#LI-HybridYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 9, 2025.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.