You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation
Job Summary
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation.
Your contributions will have a significant impact on our research projects and product roadmaps.
NVIDIA is widely considered to be one of the technology world's most desirable employers and offers equity and benefits alongside a competitive salary.
Matching Summary
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation.
Salary
Base: 224,000 USD - 356,500 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits
Skills & Requirements
Must-have
large-scale distributed training systems
GPU acceleration and CUDA programming
cluster management with Kubernetes
Python and C++ programming
multi-modal foundation model training
large-scale GPU cluster optimization
Nice-to-have
Tech Lead experience
building large-scale LLM training infrastructure
open-source AI framework contributions
research publications in top AI conferences
Key Requirements
Bachelor's degree in Computer Science, Robotics, or related field
10+ years industry experience in large-scale MLOps and AI infrastructure
experience with PyTorch, JAX, or TensorFlow frameworks
strong HPC and job scheduling tool experience (SLURM, Kubernetes)