Deep Learning Solution Architect - Agentic Performance
Tasks
- Architect end to end LLM solutions
- Collaborate with customers on LLM challenges
- Design distributed parallel training and inference
- Implement RAG workflows
- Integrate agent workflows into customer systems
- Lead LLM training and fine tuning
- Optimize inference throughput latency and memory efficiency
- Orchestrate agentic inference pipelines
- Provide technical guidance on best practices
- Support pre sales technical workshops and demos
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Agentic Inference | Cluster management | Distributed Training | Distributed inference | Docker | GPU Computing | GPU parallelism | Hugging Face | Hugging Face Transformers | KV cache | Kubernetes | Language Models | Large Language Models | Megatron Core | Megatron-LM | Memory Optimization | Multi GPU Parallelism | Multi-GPU | NVIDIA Nemo | NVIDIA TensorRT | NVIDIA TensorRT-LLM | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | TensorRT-LLM
Education
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