Solutions Architect, Pre-training and Post-training

Tasks

• Assess infrastructure factors affecting AI model development
• Create technical engagements with AI development teams
• Customize and deploy AI workloads at scale
• Evaluate AI model results
• Lead technical collaborations with customers and partners
• Perform debugging and performance analysis
• Propose AI training and optimization frameworks
• Provide first line technical expertise and developer support
• Publish collaboration results and present at GTC
• Support model lifecycle activities including pre training fine tuning post training

Perks/Benefits

• N/A

Skills/Tech-stack

Artificial Intelligence | Debugging | Deep learning | Fine Tuning | GPU Architecture | GPU Computing | GPU Server Systems | GPU server | Machine Learning | Megatron-Bridge | Megatron-LM | Model Evaluation | Model Optimization | NVIDIA GPU | NVIDIA GPU computing | NeMo-Gym | NeMo-RL | Networking | Performance Analysis | Pre-training | Reinforcement Learning | Server systems | Supervised Fine Tuning | TensorRT | TensorRT Model Optimizer | TensorRT-LLM | Test Development