NVIDIA

Technology

SeniorASICInfrastructureEngineer

CA$135–220k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior ASIC Infrastructure Engineer at NVIDIA. Skills: AI, ML, Chip design, Infrastructure. Define and deploy AI and ML applications. Aid chip design”

Industry & Context.

Technology
Problems you'll solve

Problem-solving abilities; Debugging; Troubleshoot obstacles

What They're Looking For.

Must Have

BS/MS in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience, 5+ years of relevant work experience, software architecture, development, & testing experience, Solid understanding of Linux, proficient in programming skills (ex. Python / Perl), proficient in version control systems (P4 / git), Prior exposure to RAGs or MCP or LangGraph based agentic AI workflows, problem-solving abilities, passion for debugging, Excellent communication and interpersonal skills

Nice to Have

Exposure to RTL design/verification tools, Exposure to computer architecture, Experience in creating scalable AI/LLM based applications, Experience with complete CI/CD workflow, Experience interfacing with REST APIs, Experience with webservers, A passion for continual learning

What You'll Do.

Define and deploy AI and ML applications

Aid verification stages

Collaborate with hardware chip design teams

Understand infrastructure needs

Map infrastructure needs onto AI/LLM solutions

Architect novel tools

Architect creative applications

Develop creative applications

Publish work in industry/inhouse conferences

Stay on top of latest advancements in AI/ML

Stay on top of latest advancements in AI/ML

Advocate for integration of AI/ML technologies

Advocate for integration of AI/ML frameworks

Troubleshoot technical obstacles

Troubleshoot productivity obstacles

Resolve technical obstacles

Resolve productivity obstacles

How You'll Work.

Team & Collaboration

Hardware chip design teams; Cross-functional teams

Communication Scope

Excellent communication; Interpersonal skills

Full Job Description

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! ## **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. ## **What we need to see:** * 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

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