NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are looking for a Memory Mask Design Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed digital memory circuit designs.
What you'll be doing:
Implement IC layout of innovative, high-performance, high-speed CMOS integrated circuits in foundry CMOS process nodes in 3nm,5nm, 7nm and lower nodes following industry standard methodologies.
Deliver layouts for Full Custom Memory group specializing in digital Memory circuits.
IP layout will comprise of significant digital components.
Adopting and putting in place the best layout practices/methodology for composing digital Memory layouts
Follow company procedures and practices for IC layout activities.
What we need to see:
B.E/B Tech. / M Tech in Electronics or equivalent experience with 2+ Years of proven experience in Memory layout in advanced CMOS process.
Detailed knowledge of industry standard EDA tools for Cadence.
Experience with layout of high-performance memories of various types.
Knowledge of Layout basics including the various types of bitcells, Decoder, LIO etc. (matching devices, symmetrical layout, signal shielding)
Experience with floor planning, block level routing and macro level assembly.
Detailed knowledge of top level verification including the EM/IR quality checks and detailed knowledge of layout dependent effects including LOD, Dummification, fills etc.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Hybrid
Skills Required
- B.E/B Tech. / M Tech in Electronics or equivalent experience
- 2+ Years of proven experience in Memory layout in advanced CMOS process
- Detailed knowledge of industry standard EDA tools for Cadence
- Experience with layout of high-performance memories of various types
- Knowledge of Layout basics including various types of bitcells, Decoder, LIO etc.
- Experience with floor planning, block level routing and macro level assembly
- Detailed knowledge of top level verification including EM/IR quality checks
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.”
