NVIDIA is looking for an outstanding Senior ASIC Design Engineer to build and implement leading SoCs and GPUs. This role offers a chance to create real impact in a dynamic, tech-driven company. The products range from consumer graphics to self-driving cars and the fast-growing field of artificial intelligence. 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:
As a key member of our design team, you will be responsible for the micro-architecture and build implementation of GPU memory systems units such as caches, coherency, complex pipelines, arbiters, or interconnect networks.
Micro-architect features to meet area, performance, and power requirements.
Deliver a fully verified build by working closely with verification engineers.
Deliver a synthesis/timing clean build to ensure a routable and physically implementable design.
Collaborate with architects, verification engineers, software engineers, and physical build engineers to accomplish your goals.
What we need to see:
Bachelor's or Master’s Degree in Electrical Engineering or Computer Engineering, or equivalent experience.
8+ years of experience delivering design/RTL for complex IPs from inception through tapeout.
Prior experience building arbiters, shared buffers, virtual channels, interconnection routing policies/deadlock avoidance,.
Highly proficient in logic design, Verilog, and/or System-Verilog, with a solid understanding of Computer Architecture.
A deep understanding of ASIC flow including RTL, verification, logic synthesis, timing analysis, ECO..
Proficiency in developing/using AI workflows and/or autonomous agents for design methodologies.
Strong interpersonal and communication skills to collaborate across teams.
Good debugging and analytical skills.
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
- Bachelor's or Master's Degree in Electrical Engineering or Computer Engineering or equivalent experience
- 8+ years of build/RTL experience
- Highly proficient in logic design, Verilog and/or System-Verilog
- Deep understanding of ASIC flow including RTL, verification, synthesis, timing analysis
- Strong interpersonal and communication skills
- Prior experience with arbiters, scheduling, protocols, and networks
- Familiarity with architecture concepts and implementation techniques
- Good debugging and analytical 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.
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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.
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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.
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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.”
