Senior AI-Native Systems Software Engineer, TensorRT

What you’ll be doing 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. Deep learning familiarity: Experience with modern inference frameworks and an understanding of the architectural nuances of LLMs, Diffusion, and multi‑modal models. Systems thinking: Interest in how software architecture must evolve to support automated, agent‑driven development and indefinitely scaling codebases. End‑to‑end product sense: Ability to translate high‑level customer needs into concrete technical requirements and user‑centric solutions. Pragmatic execution: Demonstrated ability to go from customer requests to production‑quality software on tight timelines. Collaborative mindset: Excellent communication skills and comfort working across internal organizations and with customers. Ways to stand out from the crowd Agentic framework experience: Hands‑on work with AI agent orchestrators or multi‑agent coding frameworks, or experience building custom agentic coding harnesses for production software. CUDA & kernel expertise: Experience with CUDA programming or exposure to kernel generation / autotuning efforts. High‑velocity prototyping: A track record of rapidly turning state‑of‑the‑art papers into working prototypes in days, not weeks. Performance profiling skills: Expertise in software performance analysis, profiling, and optimization (CPU and/or GPU), including using tooling to drive measurable wins. The base salary range is $152,000 - $241,500 for Level 3 and $184,000 - $287,500 for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 25, 2026. This posting is for an existing vacancy. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr Dormont Manufacturing Co