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Memory Subsystem Design Engineer Jobs (NOW HIRING)

Qualcomm

## Next-Gen, High-Speed HBM, LPDDR Memory Subsystem ASIC Digital Design EngineerSan Diego, California ... and the engineer is expected to be responsible for enabling high speed (1Ghz+) designs in QCT ...

Altera

FPGA DDR and IO Subsystem Architect

San Jose, CA · On-site

$200K - $286K/yr

Lead technical reviews and provide guidance across RTL design, circuit design, verification ... Experience with FPGA architectures and programmable IO subsystems. * Prior ownership of memory ...

Cohu, Inc.

Senior FPGA Engineer

Norwood, MA · On-site

$146K - $188K/yr

Seeking a Senior FPGA design engineer with 7 to 15 years of experience. In this role, you will ... High-speed interfacesand memory subsystem design including JESD, PCIe, DMA, and DDR4/5 * Board ...

Velaura

Senior RTL Engineer

Santa Clara, CA · On-site

$200K - $300K/yr

Role Overview We are looking for a Senior RTL Engineer to help build Velaura's next-generation ... Preferred Qualifications • Deep expertise in memory subsystem design: caches, coherency, memory ...

SambaNova

Principal RTL Design Engineer

San Jose, CA · On-site

... network, and memory subsystems inside SambaNova's RDU AI accelerator. Their work spans ... About the role SambaNova Systems is looking for a Principal RTL Design Engineer to own the ...

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Memory Subsystem Design Engineer information

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How much do memory subsystem design engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for memory subsystem design engineer in the United States is $101,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Memory Subsystem Design Engineer jobs?

For Memory Subsystem Design Engineer jobs, the most frequently searched job titles are:

Infographic showing various Memory Subsystem Design Engineer job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $101,072 per year, or $48.6 per hour.

Senior Design Verification Engineer - GPU Memory Subsystem

Durham, NC • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$100K - $135K/yr

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We're looking for a talented, motivated Senior Design Verification Engineer to join our GPU memory subsystem team in Durham, NC. Looking to join a dynamic team solving complex verification challenges involving caches, coherency, pipelines, and arbitration? This pre-silicon position is perfect for you!
What you'll be doing:
  • Actively collaborate with RTL, DV, FV, and Arch teams to then develop and implement design verification strategies for our GPU ASIC memory subsystem IP.
  • Perform functional and performance verification using advanced tools and methodologies. Bring your innovative ideas to the table.
  • Gain a deep understanding of this critical IP's micro-architectural design and implementation while continuing to advance your verification skills.

What we need to see:
  • BS Degree in CompE, EE, CS, or equivalent experience
  • 5+ years of experience covering the full scope of pre-silicon ASIC verification, including the development of verification strategy, test plans, tests, testbench components, regression triage, debug, and coverage closure and experience with industry standard tools
  • Working knowledge of computer architecture fundamentals and their constructs in Verilog/System Verilog

Ways to stand out from the crowd:
  • Strong analytical thought process and outstanding debug skills.
  • Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks
  • Infrastructure development, use of AI to support design and verification development
  • Testbench development experience, especially with UVM components used in multiple levels of verification
  • Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data structures, and error handling

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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

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