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Cache Jobs in California (NOW HIRING)

TecTammina

L3/L4 EPIC Cache DBA

Palo Alto, CA · On-site

Equivalent work experience will be considered. - Epic experience is a MUST, dba software within healthcare industry - Flash Arrays - P8 Qualifications L4/L3 expert in Cache DBA and AIX system ...

Apple

CPU Cache Microarchitect/RTL Engineer

Santa Clara, CA · On-site

$147.40K - $272.10K/yr

Description As a CPU Cache Microarchitect/RTL Engineer, you will own or participate in the following: • Micro-architecture development and specification - from early high-level architectural ...

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How much do cache jobs pay per hour?

As of May 29, 2026, the average hourly pay for cache in California is $17.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $17.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cache Administrator, and why are they important?

To thrive as a Cache Administrator, you need expertise in database management, performance tuning, and a solid understanding of InterSystems Caché or similar database platforms, often supported by relevant certifications or experience. Familiarity with Caché ObjectScript, SQL, and system administration tools is typically required. Strong problem-solving skills, attention to detail, and effective communication help you address issues proactively and collaborate with IT teams. These skills ensure optimal database performance, reliability, and support for critical business applications.

What are some typical challenges faced by Cache Administrators, and how can they be addressed?

Cache Administrators often encounter challenges such as maintaining optimal cache performance, troubleshooting cache-related bottlenecks, and ensuring data consistency between cache and primary data stores. Addressing these challenges involves regularly monitoring cache usage, tuning cache configurations, and implementing effective cache eviction strategies. Collaboration with developers and database administrators is key to ensuring that the caching layer aligns with application requirements, supports scalability, and minimizes data inconsistencies.

What is a cache in computing?

A cache in computing refers to a hardware or software component that stores data so that future requests for that data can be served faster. Caches are commonly used to temporarily hold frequently accessed information, reducing the time it takes to retrieve data from slower storage areas or remote servers. For example, web browsers use cache to store web pages, images, and other resources to speed up page loading. Similarly, processors use cache memory to store instructions and data that are repeatedly accessed, improving overall system performance.

What is the difference between Cache vs Data Analyst?

AspectCacheData Analyst
Required CredentialsTypically no formal certification, but knowledge of caching systemsBachelor's degree in statistics, data science, or related field
Work EnvironmentIT, software development, system administrationBusiness, finance, marketing, IT
Industry UsageTechnology, software, web developmentBusiness intelligence, marketing, finance
Common Search/ComparisonYesNo

Cache professionals focus on optimizing data storage and retrieval in IT systems, while Data Analysts interpret data to support business decisions. Although both roles involve working with data, their skills, environments, and objectives differ significantly.

What are popular job titles related to Cache jobs in California? For Cache jobs in California, the most frequently searched job titles are:
What job categories do people searching Cache jobs in California look for? The top searched job categories for Cache jobs in California are:
Cache jobs near you
Senior Cache Coherency Architect

Senior Cache Coherency Architect

Nvidia

Santa Clara, CA

Full-time

Posted 9 days ago

Job description

We are seeking an experienced Senior Cache Coherency Architect to join our ambitious team at NVIDIA. This opportunity allows you to be part of a world-class organization that develops scalable, low-latency, high-bandwidth coherent interconnect systems. These systems power groundbreaking NVIDIA products such as Grace-CPU-Superchip, Grace-Hopper-Superchip, and Vera-Rubin.

In this role, you will contribute to the architecture of cache-coherent interconnect and cache subsystems, including architecture definition, modeling, and implementation. You will collaborate with CPU, GPU, memory subsystem, and SoC architects to define coherency solutions that integrate effectively into SoC designs. The role requires close partnership with multiple IP creation and verification teams throughout the project lifecycle. This position provides the chance to create a meaningful impact across product lines ranging from consumer graphics to automotive and AI platforms.

What you'll be doing:

  • Define consistent interconnect architecture, cache-coherency protocols, and high-performance on-chip interconnect interfaces.

  • Contribute to interconnect IP block specifications, build, verification, and integration into the NoC fabric to ensure cache-coherency compliance.

  • Collaborate with architects to guarantee the interconnect architecture aligns with project power, performance, and area (PPA) requirements.

  • Develop and maintain functional and performance models for the NoC fabric and IP units to assist with analysis and validation.

  • Collaborate with cross-functional design and verification teams (simulation, emulation, and formal) to ensure implementations align with architectural specifications.

  • Support silicon bring-up and post-silicon debug as needed.

What we need to see:

  • Master's degree in electrical engineering, Computer Engineering, Computer Science, or equivalent experience.

  • 5+ years of experience in processor design or other high-performance semiconductor designs.

  • Deep understanding of cache coherency, with hands-on experience in industry-standard protocols (e.g., AXI, ACE, CHI).

  • Experience authoring specifications and designing cache-coherent interconnects.

  • Strong understanding of system and memory subsystem architecture, with a focus on cache-coherent interconnect.

  • Experience developing coherent IP models (e.g., VIPs, BFMs) for simulation and emulation.

  • Proficiency in C, C++, Python, and Verilog.

Join us and help build the future of computing at NVIDIA!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 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

Year founded

1993

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