> Markdown version of [/jobs/ext/1429259-principal-deep-learning-algorithm-engineer](https://www.wearedevelopers.com/jobs/ext/1429259-principal-deep-learning-algorithm-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Deep Learning Algorithm Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Salary:** $272,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Python (Programming Language), OpenCL, Performance Tuning, Large Language Models, Deep Learning, Gpu Programming, Information Technology - **Published:** July 24, 2026 - **Apply:** https://www.juju.com/job/00000000gizu6o ## About the Role + BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience). + 15+ years of experience in deep learning and deep learning systems design. + Proficiency in Python and C++ programming + Strong understanding of computer architecture, and GPU/parallel datacenter computing fundamentals. + Proven interest in analyzing, modeling, and tuning application performance. Ways to stand out from the crowd: + Experience in building large-scale LLM inference systems, especially those involving compound AI. + Experience with processor and system-level performance modeling. + GPU programming experience with CUDA or OpenCL. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)