NVIDIA

1 month ago

Senior ASIC AI 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

Develop AI-powered methodologies to generate micro-architecture, RTL, and physical design starting from specification for GPU ASIC flows, using AI agents to process large data and codebases. Evaluate multi-agent frameworks to optimize area, power, timing, and functionality of memory system units. Collaborate with architects and hardware/physical design engineers, and identify opportunities to integrate AI workflows into existing flows.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification.
•Using AI agents to process large data and existing codebase to generate skills that can be widely used.
•Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU
•Collaborate with architects, hardware engineers, and physical design engineers to accomplish your goals.
•Find opportunities to integrate AI workflows into existing flows.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually

Key Requirements

•BS (or equivalent) in Electrical Engineering, Computer Engineering, or related fields with 5+ years of experience, or MS with 3+ years of relevant experience.
•Direct experience with AI-driven development such as coding agents and Agentic workflows. Ability to map a problem to AI workflows.
•Proficiency in AI orchestration tools like LangChain or LlamaIndex and reasoning methodologies. Knowledgeable in memory and context management, evaluation frameworks to measure agent accuracy.
•Experience with System Verilog, RTL and hardware description language.
•A good understanding of ASIC flow including RTL, verification, logic synthesis, timing analysis.

Experience:SemiconductorsGPUAI

Education:Bachelor's

Skills:LangChainLlamaIndexSystemVerilogRTLHDLASICMemoryArchitecture

Languages:English

Tech Stack:LangChainLlamaIndexSystemVerilogRTLHDLASICMemory architectureGPU

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

1 month ago

Senior ASIC AI 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: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification.
•Using AI agents to process large data and existing codebase to generate skills that can be widely used.
•Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU
•Collaborate with architects, hardware engineers, and physical design engineers to accomplish your goals.
•Find opportunities to integrate AI workflows into existing flows.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually

Key Requirements

•BS (or equivalent) in Electrical Engineering, Computer Engineering, or related fields with 5+ years of experience, or MS with 3+ years of relevant experience.
•Direct experience with AI-driven development such as coding agents and Agentic workflows. Ability to map a problem to AI workflows.
•Proficiency in AI orchestration tools like LangChain or LlamaIndex and reasoning methodologies. Knowledgeable in memory and context management, evaluation frameworks to measure agent accuracy.
•Experience with System Verilog, RTL and hardware description language.
•A good understanding of ASIC flow including RTL, verification, logic synthesis, timing analysis.

Experience:SemiconductorsGPUAI

Education:Bachelor's

Skills:LangChainLlamaIndexSystemVerilogRTLHDLASICMemoryArchitecture

Languages:English

Tech Stack:LangChainLlamaIndexSystemVerilogRTLHDLASICMemory architectureGPU

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