Senior AI-Native Systems Software Engineer, TensorRT

Responsibilities

• Architecting an AI-native framework: Help design and build a codebase and architecture that scales beyond human capacity, supporting large numbers of AI agents working in parallel to generate, test, and validate production-grade software.
• Scaling through agentic workflows: Improve the ratio of compute-to-software output by adopting and building AI-native tools, multi-agent orchestrators, and codebase harnesses that keep humans focused on the highest-value work..
• Rapid prototyping with SOTA models
• Act as a technical scout, identifying industry and academic breakthroughs (e.g., new attention mechanisms, KV cache strategies) and dispatching AI agent swarms to prototype and integrate these capabilities into our framework.
• Delivering a great user experience: Ensure a seamless, high-performance path to production for the latest model families (LLMs, Diffusion, Audio, Vision and multi-modal models).
• Extreme performance optimization: Work at the intersection of Python orchestration and C++ engine-level optimizations to achieve major latency and throughput gains for critical customer use cases.
• What we need to see
• BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience.
• 4+ years of relevant software development experience.
• Strong modern C++ skills: Proficiency with C++11/14/17 (or newer) and the STL, with an emphasis on clean, maintainable, performant code.

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