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Memory System Architect Jobs (NOW HIRING)

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

OR · On-site

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

SoC Memory Subsystem Architect

Sunnyvale, CA · On-site

$196K/yr

Developing architecture and micro-architecture to improve the state-of-the-art AI SoC memory system. Explore and evaluate the architectural design choices in SoC fabrics, system caches, system ...

Developing architecture and micro-architecture to improve the state-of-the-art AI SoC memory system. Explore and evaluate the architectural design choices in SoC fabrics, system caches, system ...

AI Memory Solution Architect

San Jose, CA

$73.75 - $97.25/hr

Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache ...

AI Memory Solution Architect

San Jose, CA · On-site

$73.75 - $97.25/hr

Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache ...

System Architect

Palo Alto, CA

$286.40K/yr

Advanced Compute And Hardware Systems Architect Voltai is developing world models, and agents to ... Interface definition, memory hierarchy, and interconnect design * Leading architecture reviews and ...

System Architect

San Jose, CA

$284.80K/yr

System Architect * San Jose, CA * Full-time * Department: Architect. Come and work in a worlds ... Knowledge of Ethernet, PCIe, USB protocols and DRAM memory controllers * Experience with behavior ...

System Architect

San Jose, CA

$284.80K/yr

System Architect Location: San Jose, CA Duration: Full-time Department: Architect Come and work in ... Knowledge of Ethernet, PCIe, USB protocols and DRAM memory controllers * Experience with behaviour ...

System Architect

San Jose, CA

$284.80K/yr

Architect System-on-chips which will transform next generation infrastructure products in the ... Knowledge of Ethernet, PCIe, USB protocols and DRAM memory controllers * Experience with behavior ...

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Memory System Architect information

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$86.5K

$224.3K

$243.5K

How much do memory system architect jobs pay per year?

As of Jun 1, 2026, the average yearly pay for memory system architect in the United States is $224,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $243,000.00 and $243,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Memory System Architect, and why are they important?

To thrive as a Memory System Architect, you need a deep understanding of memory subsystem design, computer architecture, and performance analysis, typically supported by a degree in electrical engineering or computer science. Familiarity with simulation tools, memory modeling software, and hardware description languages such as Verilog or VHDL is commonly required. Strong problem-solving, collaboration, and communication skills help drive cross-functional innovation and clarify complex design trade-offs. These capabilities are crucial to designing efficient memory solutions that meet performance, power, and scalability requirements in advanced computing systems.

What are some common challenges Memory System Architects face when integrating new memory technologies into existing system architectures?

Memory System Architects often encounter challenges such as ensuring compatibility between emerging memory technologies and legacy system components, optimizing memory bandwidth and latency, and managing power consumption. Balancing performance improvements with system cost and scalability is also critical, especially as workloads and data sizes continue to grow. Collaborating closely with hardware, firmware, and software teams is essential to address these challenges and to ensure seamless integration and optimal system performance.

What is a Memory System Architect?

A Memory System Architect is an engineer who designs and oversees the architecture of memory subsystems within computing platforms, such as computers, servers, or embedded systems. They are responsible for specifying how memory components (like DRAM, SRAM, and flash) interact with processors and other hardware to optimize speed, capacity, power efficiency, and reliability. This role involves working with hardware design, system integration, and sometimes software teams to ensure that the memory system meets performance and cost requirements. Memory System Architects play a key part in advancing technologies for devices ranging from smartphones to high-performance servers.

What is the difference between Memory System Architect vs Memory Design Engineer?

AspectMemory System ArchitectMemory Design Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; certifications in memory technologies are a plusBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; certifications in memory design are common
Work EnvironmentDesign teams, R&D departments, cross-functional collaboration on system-level memory solutionsDesign teams focused on detailed memory chip design, simulation, and testing
Employer & Industry UsageSemiconductor companies, hardware manufacturers, system integratorsMemory chip manufacturers, semiconductor companies, hardware firms

The Memory System Architect focuses on designing and optimizing entire memory systems at a high level, ensuring compatibility and performance across components. In contrast, the Memory Design Engineer concentrates on the detailed design and testing of individual memory chips. Both roles require strong technical skills and industry knowledge but differ in scope and focus.

Infographic showing various Memory System Architect job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 88% Full Time, 2% Part Time, and 8% Contract. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $224,334 per year, or $107.9 per hour.
Senior GPU Memory Architect

Senior GPU Memory Architect

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 11 days ago


Job description

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.

What you will be doing:

  • Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

  • Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.

  • Develop and enhance architecture prototype models for power and noise analysis.

  • Participate in performance and power simulation of features to analyze, define, and improve energy per byte.

  • Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.

  • Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

  • Collaborate with outside partners on system infrastructure.

What we want to see:

  • 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

  • Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).

  • Expertise in power analysis and modeling in pipeline-based architectures.

  • Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

  • Experience with C, C++, and some scripting languages.

Ways to stand out from the crowd:

  • MS/PhD in Electrical Engineering, Computer Science, or related field

  • Experience with hardware design languages such as Verilog or VHDL

  • Prior experience in developing and optimizing algorithms for power efficiency

  • Demonstrated ability to innovate and drive continuous improvement in system architecture

  • Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 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.

Nvidia logo

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

Year founded

1993