Senior ASIC Infrastructure Engineer

NVIDIA is now 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!

• 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.
   

• 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
   

• 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.
   

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.

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This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.