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Sram Engineer Jobs (NOW HIRING)

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team. The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high ...

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team. The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high ...

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team! The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high ...

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team! The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high ...

At SRAM, we believe in expanding the potential of cycling, and that starts with you. KEY ... Apply SRAM engineering best practices and standard procedures to how work is accomplished

As a SRAM Design Engineer, you will leverage industry-leading foundry process technologies and design enablement solutions to push the boundaries of silicon performance. This is a hands-on individual ...

As a SRAM Design Engineer, you will leverage industry-leading foundry process technologies and design enablement solutions to push the boundaries of silicon performance. This is a hands-on individual ...

As a CPU SRAM Design Engineer, you will design, improve, and analyze digital circuits for memories. The role involves full ownership of custom SRAM and Register File designs from schematic capture to ...

... engineers, and implement groundbreaking techniques of Machine Learning, Circuit design in Apple's marquee products like M1 and A14 Bionic.As an SRAM Circuit Designer for the Digital Custom Group, you ...

... engineers, and implement groundbreaking techniques of Machine Learning, Circuit design in Apple's marquee products like M1 and A14 Bionic. As an SRAM Circuit Designer for the Digital Custom Group ...

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Sram Engineer information

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$10

$49

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How much do sram engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for sram engineer in the United States is $49.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $57.21 per hour, depending on experience, location, and employer.

What are popular job titles related to Sram Engineer jobs?

For Sram Engineer jobs, the most frequently searched job titles are:

Senior SRAM Engineer

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 11 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team. The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high speed, low power, multiport, we engage closely with processor architecture teams to build custom solutions across the entire NVIDIA silicon portfolio.

Are you interested in designing circuits for the next generation of AI chips. Join a team of dedicated engineers developing the custom SRAM circuits that help power these chips. What you'll be doing: Design best-in-class SRAM circuits using state-of-the-art technology processes Optimize circuits for performance, area, and power Collaborate with mask designers to craft high quality and dense pitch-matched layout Verify functionality, electrical integrity, and robustness Improve/develop flows and methodologies to streamline design automation, data collection, and analysis to ensure working silicon What we need to see: BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering Minimum 12 years of circuit design experience Strong understanding of SRAM and memory design techniques and macro/block development Ways to stand out from the crowd: Self-motivation, attention to detail, clear data analysis and presentation skills Familiarity with industry tools such as Cadence Virtuoso for schematic and layout, SPICE simulators, waveform viewers Background with developing and using various flows and methodologies, including: Static Timing Analysis, EM and IR analysis, Formal Functional Verification Experience with scripting languages - Perl, Python, Shell, Verilog NVIDIA has continuously reinvented itself over two decades.

Our 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. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world.

This is our life's work, to amplify human imagination and intelligence. Make the choice, join our diverse team today. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 196,000 USD - 310,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 28, 2026.

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.


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US