NVIDIA is looking for an outstanding and motivated Senior ASIC AI Engineer to develop high performance Agentic AI systems to boost productivity of GPU ASIC design flows . This role offers a chance to create real impact in a dynamic, tech-driven company. If you are passionate and knowledgeable about using the latest AI framework, this role offers opportunities to apply these technologies to GPU hardware design. Our team consists of outstanding people worldwide, working to push the boundaries of what is possible today and define the future of computing.
What you’ll be doing:
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.
What we need to see:
BS (or equivalent experience) 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.
Familiarity with computer architecture concepts and implementation of caches, arbitration and scheduling polices and interconnects.
Strong interpersonal and communication skills to collaborate across teams.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS in Electrical Engineering, Computer Engineering, or related fields
- 5+ years of experience or 3+ with MS
- Direct experience with AI-driven development
- Proficiency in AI orchestration tools
- Experience with System Verilog and RTL
- Good understanding of ASIC flow and verification
- Familiarity with computer architecture concepts
- Strong interpersonal and communication skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
