> Markdown version of [/jobs/ext/1405526-senior-asic-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/1405526-senior-asic-infrastructure-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). --- # Senior ASIC Infrastructure Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Computer Engineering, Continuous Integration, Software Debugging, Linux, Perl (Programming Language), Design of User Interfaces, Python (Programming Language), Machine Learning, Software Architecture, Application Specific Integrated Circuits, Software Verification, Retrieval-Augmented Generation, Large Language Models, Gitlab, Git, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, Software Version Control, Docker, Jenkins - **Published:** July 23, 2026 - **Apply:** https://www.juju.com/job/00000000gilg4l ## About the Role + BS/MS in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience + 5+ years of relevant work experience + Strong software architecture, development, & testing experience. + Solid understanding of Linux, proficient in programming skills (ex. Python / Perl) and version control systems (P4 / git). + Prior exposure to RAGs (Retrieval-Augmented Generation) or MCP or LangGraph based agentic AI workflows + Strong problem-solving abilities and a passion for debugging + Excellent communication and interpersonal skills Ways to stand out from the crowd: + Exposure to RTL design/verification tools (VCS or equivalent simulation tools, debug tools like Verdi) and computer architecture. + Experience in creating scalable AI/LLM based applications for a wide user base. + Experience with complete CI/CD workflow (ex. Jenkins, k8s, LSF, Docker, gitlab), interfacing with REST APIs, webservers. + A strong passion for continual learning and keeping abreast of new technologies and approaches in AI/ML infrastructure. ## Description NVIDIA is looking for a Senior Infrastructure Engineer! NVIDIA is looking to tap onto AI to define next generation of chip design ! NVIDIA is seeking a passionate, highly motivated, and creative senior software engineer to be part of its CPU SOC HW Infrastructure team. We develop methodologies and craft tools to streamline the design/verification of NVIDIA's CPU, memory and SOC designs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We are creating a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Come, join us today! What you'll be doing: + Define and deploy AI and ML applications to aid chip design, debug & verification stages. + Collaborate closely with our hardware chip design teams to understand their infrastructure needs and map them onto AI/LLM solutions. + Architect and develop novel tools, user interfaces, and creative applications. Publish work in industry/inhouse conferences. + Stay on top of latest advancements in AI/ML technologies and frameworks (LLM memories, transformers, RL, RAG, GenAI) and advocate for their integration within the company. + Troubleshoot and resolve critical technical or productivity obstacles that impact team's performance. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)