Senior ASIC Infrastructure Engineer
About the role
NVIDIA is seeking a Senior Infrastructure Engineer to join its CPU SOC HW Infrastructure team. This role involves developing methodologies and crafting tools to streamline the design and verification of NVIDIA's CPU, memory, and SOC designs. The ideal candidate will have a strong background in software architecture, development, and testing, along with experience in AI and ML applications.
Responsibilities
- Define and deploy AI and ML applications to aid chip design, debug & verification stages.
- Collaborate closely with 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/in-house 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.
Requirements
- BS/MS in Computer Science, 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 (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.
Qualifications
- Experience in 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 (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.
Skills
- Experience with AI/ML frameworks and technologies (LLM memories, transformers, RL, RAG, GenAI).
- Experience with AI/ML toolchains and workflows.
- Experience with AI/ML model deployment and inference.
- Experience with AI/ML data preprocessing and feature engineering.
Benefits
NVIDIA offers a comprehensive benefits package including highly competitive salaries, equity, and more. Applications for this job will be accepted until June 13, 2026.
Pay
Base salary range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.
Schedule
Full-time.
Company Information
NVIDIA is a leading technology company that develops innovative products and services for the global market. They are committed to fostering an inclusive work environment and are proud to be an equal opportunity employer. NVIDIA uses AI tools in its recruiting processes.