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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI-Native Systems Software Engineer, TensorRT - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Engineering, Python (Programming Language), Performance Tuning, Software Architecture, Rapid Prototyping Process, Software Engineering, Large Language Models, Multi-Agent Systems, Deep Learning, Build Management, Information Technology, TensorRT, Stable Diffusion, Virtual Agents, C++14, Software Performance - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Native-Systems-Software-Engineer--TensorRT_JR2016396 ## About the Role If you are a systems-thinking C++ engineer who wants to help scale out an agentic development framework, stay on top of state-of-the-art deep learning breakthroughs, and improve users' experience with lightning-fast model onboarding, we want to hear from you!, * 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. ## Description * 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. ## Related Videos - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Enhancing Workload Security in Kubernetes](https://www.wearedevelopers.com/videos/356-enhancing-workload-security-in-kubernetes) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)