Senior GenAI Systems Engineer for Foundation Models

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity grants

Benefits

Job summary

NVIDIA Corporation is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment. You will work at the intersection of distributed training, RL for LLMs/VLMs, model efficiency, multimodal AI, and open-source AI infrastructure.

This role spans the GenAI lifecycle from data prep to training, post-training, inference optimization, and framework development.

Qualifications

• MS or Ph.D in Computer Science, AI, Applied Mathematics, or a related field (or equivalent experience).
• 5+ years of relevant industry experience.
• Strong foundation in machine learning, deep learning, and optimization.
• Excellent software engineering skills, including Python and PyTorch.
• Experience building high-performance software for large-scale AI systems.
• Strong analytical, debugging, and performance optimization skills.
• Excellent communication and collaboration skills.

Responsibilities

• Data Curation & Readiness: Design scalable systems for preparing high-quality multimodal datasets for frontier foundation model training.
• Training Efficiency: Develop algorithms and systems that improve the scalability, efficiency, and cost of large-scale pre-training and post-training.
• Inference Efficiency: Advance techniques that improve inference performance, reduce deployment cost, and enable efficient serving across cloud and edge platforms.
• Open-Source AI Infrastructure: Develop reusable infrastructure and contribute brand new model support to NVIDIA's open-source GenAI training platform.

Skills

Machine learning foundations

Deep learning

Optimization

Software engineering

Python

PyTorch

Communication

Education

MS or PhD in Computer Science/AI/Applied Mathematics or related field

Tools

Python

PyTorch

Job description

NVIDIA Corporation is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment. You will work at the intersection of distributed training, RL for LLMs/VLMs, model efficiency, multimodal AI, and open-source AI infrastructure.

This role spans the GenAI lifecycle from data prep to training, post-training, inference optimization, and framework development.