Senior Solutions Architect, Generative AI Research
Tasks
- Advise labs on GPU accelerated training and inference studies
- Analyze throughput memory parallelism latency and scaling
- Develop research prototypes using NVIDIA full stack
- Partner with universities to shape foundation model research
- Translate lab feedback into technical examples workshops roadmap input and adoption guidance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Feedback | Agent evaluation | Artificial Intelligence | Batching | Benchmarking | Checkpointing | Data Curation | Data loading | Direct Preference Optimization | Distributed Training | Generative AI | Human Feedback | JAX | Language Models | Large Language Models | Latency optimization | Learning from Human Feedback | Linux | Machine Learning | Memory Optimization | Model Efficiency | Multimodal AI | NEMO | Preference optimization | PyTorch | Python | Rapids | Reasoning systems | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Reliability Engineering | Reproducibility | Safety | Scaling Laws | Scheduling | Synthetic data | TensorRT-LLM | Throughput Optimization | Transformer Engine | Triton
Education
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
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