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Computer Architecture Jobs in California (NOW HIRING)

A PhD with a focus in computer architecture is a plus. * 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.

Description The Architecture team within our organization is responsible for bringing together computer vision algorithms, firmware, and low-level software teams to drive some of the most exciting ...

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Computer Architecture information

See California salary details

$157.4K

$172.7K

$186.5K

How much do computer architecture jobs pay per year?

As of Jun 14, 2026, the average yearly pay for computer architecture in California is $172,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,300.00 and $180,100.00 per year, depending on experience, location, and employer.

Is computer architecture worth IT?

Computer architecture is a fundamental field within information technology that involves designing and optimizing computer systems. Careers in this area often require strong knowledge of hardware, programming, and system design, and can lead to roles in hardware engineering, system design, and performance analysis, which are in demand across various tech industries.

What is the difference between Computer Architecture vs Computer Hardware Engineer?

AspectComputer ArchitectureComputer Hardware Engineer
Primary FocusDesigning and optimizing the overall structure and organization of computer systemsDesigning, developing, and testing physical computer components and systems
Work EnvironmentResearch labs, design firms, academiaManufacturing facilities, hardware development companies
Required CredentialsBachelor's or master's in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or master's in Electrical Engineering, Computer Engineering, or related fields
Industry UsageUsed by system designers, researchers, and academiaUsed by hardware manufacturers, product developers, and engineers

While both roles involve working with computer systems, Computer Architecture focuses on designing the overall system structure and performance optimization, whereas Computer Hardware Engineers work on creating and testing physical components. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive in Computer Architecture, and why are they important?

To thrive in Computer Architecture, you need a solid background in computer engineering or computer science, with expertise in digital logic design, processor organization, and systems-level integration. Familiarity with hardware description languages (such as VHDL or Verilog), simulation tools, and industry-standard architectures (like x86, ARM, or RISC-V) is commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex hardware projects. These competencies ensure the development of efficient, reliable, and innovative computing systems that meet performance and power requirements.

How much does a computer architect make?

A computer architect typically earns a median annual salary of around $120,000, with salaries varying based on experience, education, and location. Professionals in this role often have strong skills in hardware design, systems architecture, and may hold certifications such as IEEE or Cisco. Entry-level positions may start lower, while experienced architects can earn significantly more.

What is computer architecture?

Computer architecture refers to the design and organization of a computer's core components, including the central processing unit (CPU), memory systems, input/output controls, and data paths. It defines how these elements interact to execute instructions and perform tasks efficiently. Computer architects focus on optimizing performance, power consumption, and cost by making choices about hardware structure and instruction sets. Understanding computer architecture is crucial for developing faster, more reliable, and energy-efficient computing systems.

What are some common challenges faced by professionals working in computer architecture roles?

Professionals in computer architecture often encounter challenges such as balancing performance improvements with power efficiency and cost constraints. They must stay up-to-date with rapidly evolving technologies and address compatibility issues when integrating new hardware or optimizing existing systems. Collaboration is crucial, as computer architects frequently work with software engineers, hardware designers, and verification teams to ensure cohesive system design and functionality. Managing tight project deadlines and complex system requirements can also be demanding, but these challenges foster continuous learning and innovation within the field.

What can you do with computer architecture?

A computer architecture professional designs, analyzes, and optimizes computer systems, including processors, memory, and input/output devices. They work on improving performance, efficiency, and scalability of hardware components, often using tools like simulation software and hardware description languages. This role requires knowledge of digital logic, system design, and programming skills, and may involve collaboration with software developers and hardware engineers.

Will architects get replaced by AI?

Computer architecture involves designing and optimizing computer systems, a field that requires specialized knowledge and problem-solving skills. While AI can assist in tasks like simulation and optimization, it is unlikely to fully replace computer architects, as human expertise is essential for complex system design and decision-making.
What cities in California are hiring for Computer Architecture jobs? Cities in California with the most Computer Architecture job openings:
Senior GPU Memory Architect

Senior GPU Memory Architect

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 20 days ago


Job description

We are now looking for a Senior GPU Memory Architect.
NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.
What you will be doing:
  • Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
  • Participating in performance simulation of features to improve memory access efficiency.
  • Implementing and maintaining high-level functional and performance models.
  • Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
  • Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.
  • Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.
  • Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

What we need to see:
  • Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
  • 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.
  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.

Ways to stand out from the crowd:
  • Experience with hardware memory management unit, prefetching, or memory subsystems.
  • Practical experience with multi-core systems and memory coherency.

Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
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 May 26, 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