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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Deep Learning Architect, LLM Inference - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Client Server Models, Compilers, Profiling, Computer Programming, Databases, Computer Engineering, Microarchitecture, Data Visualization, Cursor (Graphical User Interface Elements), Software Engineering, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Api Design - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Architect--LLM-Inference_JR2013930 ## About the Role * Master's or PhD degree in Computer Science, Computer Engineering, related fields, or equivalent experience. * 6+ years of relevant software development experience. * Detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations. * Experience developing client server LLM applications with OpenAI API or MCP and identifying performance bottlenecks. * Solid understanding of CPU and GPU microarchitecture and performance characteristics. * Experience with complex software projects like frameworks, compilers, or operating systems. * Demonstrated proficiency with the latest AI coding agents like Claude Code, Codex, and Cursor * Excellent written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment. Ways to stand out from the crowd: * Demonstrate a drive to continuously improve software and hardware performance. * Showcase examples of novel use cases for agentic AI tools in the workplace. * Experience with databases and visualization tools will set you apart. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have a team of highly skilled and motivated individuals who excel in their work. If you have a proactive and independent approach, we want to hear from you! ## Description * You will do workload characterization of the latest LLMs and inference servers like vLLM, SGLang and TRT-LLM to ensure NVIDIA maintains its leadership position. * Join forces with the performance marketing team to build engaging content, including blog posts and updates to InferenceX to highlight NVIDIA's outstanding inference achievements. * Collaborate with engineers from AI startup companies to establish standard benchmarking methodologies. * Develop a constantly evolving inference performance data results website. * Invent E2E profiling and analysis tools that you will use to keep up with the rapid pace of Generative AI. * Contribute to deep learning software projects, such as PyTorch, TRT-LLM, vLLM, and SGLang to drive advancements in the field. * Verify that new GPU product launches produce industry leading performance. * Collaborate across the company to guide the direction of inference serving, working with software, research, and product teams to ensure best-in-class performance. * Use the latest coding agents and inference technology to improve team efficiency. ## Related Videos - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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