Senior AI-Native Systems Software Engineer, TensorRT
Core
Architecting and building an AI-native framework that leverages swarms of AI agents to generate, test, and validate high-performance C++ software for global TensorRT inference.
Role type
Senior IC systems software engineer (AI-native framework & agentic workflows)
Builds
AI-native codebase and architecture supporting multi-agent parallel development for production-grade software
Domain
Generative AI, High-performance computing, Inference optimization
Deliverable
production ML models
Required skills
Modern C++ (C++11/14/17/20), Systems thinking, Deep learning architecture knowledge (LLMs, Diffusion, multi-modal), End-to-end product sense, Pragmatic execution, Performance profiling
Preferred skills
Agentic framework experience, CUDA & kernel expertise, High-velocity prototyping, Extreme performance optimization
Technologies
C++, Python, TensorRT, CUDA, STL
Responsibilities
Design and build codebase architecture scaling beyond human capacity, Improve compute-to-software output via AI-native tools and multi-agent orchestrators, Identify and integrate SOTA model breakthroughs into the framework, Ensure high-performance model onboarding for LLMs/Diffusion/Vision, Optimize latency and throughput at engine level
Seniority
Senior, hands-on IC
