Senior AI Engineer and Agentic Platforms - Network Architecture
Core
Design multi-step agent workflows over NVIDIA's hardware network simulation environment, engineer domain-specific context, and optimize runtime performance for network architects.
Role type
Senior IC software engineer (agentic platforms & network simulation)
Builds
Hardware network simulation tooling and agentic workflows for network architects
Domain
Hardware networking, simulation, and AI agent systems
Deliverable
production ML models
Required skills
C++, Python, hardware stack (memory, I/O, networking, accelerators), agent loops, tool interfaces, context retrieval, inference serving, performance optimization
Preferred skills
hardware simulation software, networking protocols (RDMA, fabrics), inference serving engines (vLLM, TensorRT-LLM, Triton), LLM fine-tuning, agent workflow adoption
Technologies
C++, Python, vLLM, TensorRT-LLM, Triton Inference Server, network simulators
Responsibilities
Build agentic workflows for hardware network simulation, engineer context from simulation models and source code, optimize runtime performance, define evaluation and regression testing, build observability for agent runs, champion secure workflow guidelines, solve integration issues between agents and tooling
Seniority
Senior, hands-on IC
