NVIDIA

3 months ago

Senior ASIC Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Senior ASIC Infrastructure Engineer to architect, deploy, and maintain AI/ML-powered infrastructure for NVIDIA's CPU/SOC design team. You will work with hardware design groups to map infrastructure needs to AI/LLM workflows, develop novel tools, stay current with AI/ML tech, and troubleshoot critical productivity blockers in a hybrid, Canadian workspace.

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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/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.

Pay and Benefits

Salary: CAD 135,000 - 185,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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 (e.g. Python / Perl) and version control systems (P4 / git)
•Prior exposure to RAGs (Retrieval-Augmented Generation) or MCP or LangGraph based agentic AI workflows

Experience:5+ yearsAIHardware infrastructureChip design

Education:Bachelor's

Skills:PythonPerlLinuxP4GitJenkinsKubernetesDockerREST APIsWebserversCI/CD

Tech Stack:PythonPerlLinuxP4GitJenkinsKubernetesDockerREST APIsWebservers

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior ASIC Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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/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.

Pay and Benefits

Salary: CAD 135,000 - 185,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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 (e.g. Python / Perl) and version control systems (P4 / git)
•Prior exposure to RAGs (Retrieval-Augmented Generation) or MCP or LangGraph based agentic AI workflows

Experience:5+ yearsAIHardware infrastructureChip design

Education:Bachelor's

Skills:PythonPerlLinuxP4GitJenkinsKubernetesDockerREST APIsWebserversCI/CD

Tech Stack:PythonPerlLinuxP4GitJenkinsKubernetesDockerREST APIsWebservers

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor