Senior Generative AI Research Engineer - Remote

Overview

The Senior Generative AI Research Engineer at NVIDIA will contribute to the development of cutting-edge generative AI systems, focusing on multimodal learning and large-scale model optimization.

In Short

• Design and optimize foundation models for real-world applications.
• Collaborate on large-scale training infrastructure and data pipelines.
• Work with cross-functional teams to deploy AI models.
• Prototype experiments in AI domains such as reinforcement learning.
• Implement model distillation algorithms for efficiency.
• Profile training and inference pipelines for performance.
• Mentor junior engineers and contribute to open-source projects.
• Author technical papers and patents.
• Utilize deep learning frameworks like PyTorch and JAX.
• Engage in high-performance computing and GPU acceleration.

Requirements

• 8+ years of experience in generative AI systems.
• Proficiency in deep learning frameworks.
• Expertise in LLMs, coding agents, and diffusion models.
• Familiarity with transformer architectures and attention mechanisms.
• Experience with large-scale training and data processing.
• MS or PhD in a related field.
• 12+ years of software development experience.
• Contributions to open-source libraries.
• Experience with multimodal data.
• Prior work with NVIDIA GPU-based environments.

Benefits

• Competitive salary based on experience and location.
• Eligibility for equity and benefits.
• Diverse work environment.
• Opportunity to work with leading technology professionals.
• Involvement in groundbreaking AI developments.