NVIDIA

Research Scientist - Trustworthy AI

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Biotechnology, Computer Graphics, Accelerated ComputingIndustries

About NVIDIA

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.

About the Role

Join NVIDIA's purposeful Trustworthy AI Team as a Product Manager focusing on Low-Resource Language Models and Language-Based AI Products in New York, NY, USA. 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.

Compensation and Benefits

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

  • Base Salary Range: 160,000 USD - 258,750 USD (determined by location, experience, and pay of employees in similar positions).
  • You will also be eligible for equity and benefits.
  • Learn more about our benefits at www.nvidiabenefits.com.

Employment Type

Full time

Application Deadline

Applications for this job will be accepted at least until August 22, 2025.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Skills

AI
Large Language Models (LLMs)
Low-resource languages
Linguistic equity
Cultural preservation
Responsible AI
Policy development
Adversarial testing
AI model behavior
Guardrails

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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