Conversational AI Engineer, AI for Games (Finance)

NVIDIA is seeking a world-class engineer in conversational AI to join our AI for Games team. We are developing next-generation gaming solutions enriched with AI Assistants, Actors, and Agents, and we are looking for exceptional engineers to help us achieve this vision. If you are passionate about generative AI, language models, conversational pipelines, and their applications in games, this is the opportunity for you. Collaborating with other teams across the company, you will productize promising research and develop new features through your own work.

What you'll be doing:

• Use AI to solve product challenges in gaming and other interactive experiences.
• Build upon the latest research to create world-class conversational pipelines for AI assistants and agents.
• Enhance and fine-tune language models and retrieval-augmented generation solutions for accuracy and performance.
• Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.
• Stay current with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.
• Participate in technology transfers to and from teams across NVIDIA.

What we need to see:

• Master's degree in Computer Science/Engineering, Machine Learning, AI, or related fields (or equivalent experience).
• 5+ years of deep learning research or work experience with a focus on language models, AI assistants, and agents.
• Proficiency in C, C++, and Python, with the ability to write high-performance production code.
• Background with GPU programming, CUDA, and system optimizations is a significant plus.
• Experience with speech and computer vision AI modules (e.g., ASR, TTS, and OCR) is a significant plus.
• A track record of proven research excellence, demonstrated through presentations, demos, or publications at leading venues such as GDC, ICCV/ECCV, SIGGRAPH, or other research artifacts such as software projects or significant product development.

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition - GPU deep learning has provided the foundation for machines to learn, perceive, reason, and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is known as "the AI computing company."

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 8, 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.