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Learning Architect Jobs in California (NOW HIRING)

Meta

Machine Learning SoC Architect

Menlo Park, CA

$212K/yr

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...

Meta

Machine Learning SoC Architect

Sunnyvale, CA

$212K/yr

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...

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Learning Architect information

See California salary details

$45.9K

$127.1K

$198.9K

How much do learning architect jobs pay per year?

As of Aug 14, 2026, the average yearly pay for learning architect in California is $127,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $163,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by learning architects in their day-to-day work?

Learning Architects often navigate challenges such as aligning training solutions with diverse business objectives while accommodating varying learning styles and technological capabilities of the audience. They may need to manage tight deadlines, balance multiple projects, and collaborate with subject matter experts, stakeholders, and technical teams to ensure content accuracy and engagement. Adapting to new e-learning trends and integrating emerging technologies can also be demanding yet rewarding. Overcoming these challenges helps Learning Architects deliver impactful, effective educational experiences that drive organizational performance.

What does a learning architect do?

A Learning Architect designs and develops strategic learning experiences, frameworks, and instructional systems to support organizational or educational goals. They integrate technology, pedagogy, and user experience principles to create effective and scalable learning solutions. Their role often involves collaborating with subject matter experts, instructional designers, and technology teams to ensure content is engaging, accessible, and aligned with business or educational objectives.

What are the key skills and qualifications needed to thrive as a learning architect?

To thrive as a Learning Architect, you need expertise in instructional design, curriculum development, and a solid understanding of adult learning principles, typically supported by a degree in education, instructional design, or a related field. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline or Adobe Captivate, and industry certifications such as CPLP or ATD are highly valued. Strong collaboration, project management, and communication skills set candidates apart in this role. These skills are crucial for designing effective, scalable learning solutions that meet organizational goals and engage diverse learner populations.

What are the most commonly searched types of Learning Architect jobs in California?

The most popular types of Learning Architect jobs in California are:

What are popular job titles related to Learning Architect jobs in California?

For Learning Architect jobs in California, the most frequently searched job titles are:

What job categories do people searching Learning Architect jobs in California look for?

The top searched job categories for Learning Architect jobs in California are:

What cities in California are hiring for Learning Architect jobs?

Cities in California with the most Learning Architect job openings:

Learning Architect jobs near you
Infographic showing various Learning Architect job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,070 per year, or $61.1 per hour.

Senior Deep Learning Computer Architect

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are now looking for a Senior Deep Learning Computer Architect!NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.

What you'll be doing:

  • As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs advance the state of AI.

  • This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.

  • Your day to day work will include analyzing the behavior of various deep learning methods, proposing new features to accelerate or enable various methods, and studying the benefits of the proposed features.

What we need to see:

  • MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.

  • 5+ years of relevant experience in at least a few of the following relevant areas is required in your work history:

    • Computer architecture, including GPU and system level architecture;

    • Performance analysis and optimization;

    • Experience with LLMworkloads, including performance tuning considerations such as parallelization and fusion strategies;`

    • Experience with core deep learning kernels such as matrix multiply, attention, and communication convolution

  • Programming fluency with C++ and ideally Python

  • Experience with GPU computing (CUDA)

  • Experience with deep learning frameworks like PyTorch

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. 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. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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