We are now looking for an ASIC Design Efficiency Engineer! NVIDIA is seeking extraordinary methodology engineers to design hardware accelerators and processors on our next-generation mobile, embedded and datacenter platforms. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. Join our dynamic team today!
What you'll be doing:
Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency.
Understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements.
Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets.
Collaborate with architects, designers, verification and VLSI teams to craft the industries' top performing GPUs.
What we need to see:
Bachelors Degree in EE or CE or equivalent experience.
2+ years of experience.
Proficiency in SystemVerilog or similar HDL.
You have a solid understanding of logic design and computer architecture.
Strong interpersonal skills are required along with the ability to work in a diverse product oriented team.
Ways to stand out from the crowd:
Pipeline processor or deep learning accelerator design/architecture experience
Performance verification, low power or physical (synthesis/VLSI) design experience
Scripting knowledge in Python/Perl
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.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
- Bachelors Degree in EE or CE or equivalent experience
- 2+ years of experience
- Proficiency in SystemVerilog or similar HDL
- Understanding of logic design and computer architecture
- Strong interpersonal 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.”
