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Learning Design Jobs in California (NOW HIRING)

Albertsons

Manager Learning Pharmacy

Pleasanton, CA

$72.25 - $85.25/hr

Design and develop engaging, learner-centered pharmacy learning solutions (eLearning, instructor-led, blended learning, job aids, simulations, etc.) * Ensure all content aligns with state and federal ...

Apple

Physical Design Engineer, Machine Learning

San Jose, CA · On-site

$159K - $164K/yr

In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine ...

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All JobsLearning Design JobsLearning Design Jobs in California

Learning Design information

See California salary details

$26

$40

$68

How much do learning design jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for learning design in California is $40.16, according to ZipRecruiter salary data. Most workers in this role earn between $29.18 and $52.21 per hour, depending on experience, location, and employer.

What qualifications do I need to be a learning designer?

Learning designers typically need a bachelor's degree in education, instructional design, or a related field. Experience with e-learning tools, curriculum development, and strong communication skills are also important, and some roles may require a master's degree or certifications in instructional design or related areas.

What are some common challenges Learning Designers face when collaborating with subject matter experts?

Learning Designers often work closely with subject matter experts (SMEs) to develop effective educational materials. A frequent challenge is balancing the SME's in-depth knowledge with the need to present information in a clear, engaging, and accessible way for learners. Differences in communication styles or expectations can occur, so strong interpersonal skills and the ability to translate complex content into learner-friendly formats are essential. Building trust and maintaining open, respectful communication helps ensure successful collaboration and high-quality learning experiences.

How close is AI to replacing instructional designers?

AI can assist instructional designers by automating tasks like content generation and data analysis, but it is not yet capable of fully replacing the role. Instructional design requires creativity, understanding of learner needs, and contextual judgment that AI tools currently cannot replicate. Professionals in this field continue to adapt by integrating AI with their expertise to enhance learning experiences.

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

To thrive as a Learning Designer, you need expertise in instructional design principles, curriculum development, and adult learning theories, often supported by a degree in education or instructional design. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and sometimes certifications like CPLP or ATD are common requirements. Strong communication, creativity, and collaboration skills enable you to translate complex content into engaging learning experiences and work effectively with subject matter experts. These capabilities are critical for designing impactful educational programs that drive learner engagement and measurable outcomes.

What is the difference between Learning Design vs Instructional Designer?

AspectLearning DesignInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related fieldsOften requires similar degrees and certifications in instructional design or education technology
Work EnvironmentDesigns learning experiences across various platforms, including e-learning, classroom, and blended formatsDevelops instructional materials and courses, often collaborating with subject matter experts
Industry UsageUsed broadly in education, corporate training, and e-learning sectorsCommonly used in corporate training, higher education, and e-learning industries

Learning Design and Instructional Designer roles overlap significantly, focusing on creating effective learning experiences. Learning Design often emphasizes the overall planning and structure of learning programs, while Instructional Designers focus more on developing specific instructional materials. Both roles require similar qualifications and are integral to education and training sectors.

What is learning design?

Learning design is the process of planning, structuring, and creating educational experiences to help learners achieve specific outcomes. It involves analyzing learners' needs, defining objectives, developing instructional materials, and selecting appropriate teaching methods and technologies. Learning designers collaborate with subject matter experts and use evidence-based strategies to ensure content is engaging, accessible, and effective. Their work can be applied in schools, universities, corporate training, and online education environments.

What do learning designers do?

Learning designers develop educational materials, curricula, and instructional strategies to facilitate effective learning experiences. They analyze learner needs, create content using tools like e-learning software, and often collaborate with subject matter experts to ensure content aligns with learning objectives.

Are learning designers in demand?

Learning designers are in increasing demand as organizations focus on effective training and e-learning solutions. They are often required to have skills in instructional design, curriculum development, and familiarity with tools like Articulate or Adobe Captivate, with job growth driven by the expansion of online education and corporate training programs.
What are the most commonly searched types of Learning Design jobs in California? The most popular types of Learning Design jobs in California are:
What cities in California are hiring for Learning Design jobs? Cities in California with the most Learning Design job openings:
Learning Design jobs near you
Infographic showing various Learning Design job openings in California as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,540 per year, or $40.2 per hour.
Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 29 days ago

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
Our team builds AI-driven software systems for circuit design, combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation.
What you'll be doing:
  • Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.
  • Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization.
  • Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions.
  • Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
  • Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them.
  • Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR.

What we need to see:
  • Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience).
  • Knowledge in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required.
  • Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.

Ways to stand out from the crowd:
  • Experience building AI systems for EDA, design automation, or circuit design workflows.
  • Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
  • Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
  • Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

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 and autonomous, we want to hear from you!
#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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 1, 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

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