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 on foundation models and generative AI
- Support agent evaluation tool use methods and data pipelines
- Translate lab feedback into workshops examples roadmap and adoption guidance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent evaluation | Autogen | Batching | Benchmarking | Checkpointing | CrewAI | DPO | Data Pipelines | Distributed Training | Fine Tuning | Inference | JAX | Langchain | Langgraph | Latency optimization | Linux | Linux HPC | Llamaindex | Memory Optimization | PyTorch | Python | RLAIF | RLHF | Reliability Engineering | Reproducibility | Safety evaluation | Scheduling | Synthetic data | Throughput Optimization | Torch | Transformer Models
Education
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