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Ai Training For Design Jobs in California (NOW HIRING)

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Ai Training For Design information

What is AI training for design?

AI training for design refers to the process of teaching artificial intelligence systems to understand, generate, or assist in design-related tasks. This can include training models to recognize patterns in visual design, automate repetitive creative processes, or generate design suggestions based on user input. Professionals in this field often work with data sets of images, layouts, and other design elements to help AI tools learn and improve. The goal is to enhance creativity, efficiency, and accuracy in design workflows using AI technologies.

What are the key skills and qualifications needed to thrive in AI training for design, and why are they important?

To thrive in AI Training for Design, a strong background in design principles, UX/UI, and familiarity with artificial intelligence concepts is essential, often supported by a degree in design, computer science, or a related field. Proficiency with design tools like Adobe Creative Suite, Figma, as well as AI frameworks such as TensorFlow or PyTorch, and experience with data annotation platforms are highly valuable. Creativity, strong problem-solving abilities, and effective communication make professionals stand out in this interdisciplinary role. These skills ensure successful collaboration between design and AI teams, resulting in user-centered and innovative AI-driven products.

What are some common challenges faced by professionals in AI training for design, and how can they be addressed?

A common challenge in AI training for design is ensuring the AI model understands and accurately interprets the nuances of visual creativity and user intent. This often requires curating high-quality, diverse datasets and collaborating closely with designers to fine-tune training objectives. Additionally, staying updated with rapidly evolving AI tools and best practices can be demanding, so continuous learning and teamwork are essential. Regular communication with design and engineering teams helps bridge gaps between creative vision and technical implementation.

What is the difference between Ai Training For Design vs Ai Training For Graphic Design?

AspectAi Training For DesignAi Training For Graphic Design
CredentialsTypically requires courses in AI, design principles, and software toolsRequires similar credentials, often focusing on graphic software and design fundamentals
Work EnvironmentDesign studios, tech companies, freelance projectsAdvertising agencies, print shops, digital media firms
Industry UsageUsed across various design disciplines integrating AI toolsPrimarily in visual and print media with AI-assisted graphic creation

Ai Training For Design and Ai Training For Graphic Design share overlapping skills in AI tools and design fundamentals. However, Ai Training For Design covers a broader range of design disciplines, while Ai Training For Graphic Design focuses specifically on visual and print media. Both roles are essential in modern creative industries, often requiring similar certifications and work environments.

What cities in California are hiring for Ai Training For Design jobs?

Cities in California with the most Ai Training For Design job openings:

Infographic showing various Ai Training For Design job openings in California as of August 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 46% In-person, and 54% Remote job distribution.

CAD Engineer on ML/AI for Design Verification

Qualcomm

San Diego, CA • On-site

$164 - $246/hr

Other

Re-posted 13 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Role Overview

As a CAD Engineer specializing in design verification (DV), you will play a crucial role in developing automation tools and flows for DV, enabling state‑of‑the‑art EDA tools for Qualcomm DV teams, and exploring and applying the latest ML/AI technologies to improve DV workflow. You will also be responsible for creating comprehensive documentation and ensuring the efficiency and reliability of our automation processes.

Key Responsibilities
  • Apply engineering principles to develop and optimize CAD tools and flows to enhance productivity, efficiency, and results.
  • Conduct research to stay updated with the latest industry trends, including ML/AI technologies, and incorporate new learnings into Qualcomm workflow.
  • Create and maintain detailed documentation for automation processes and tools.
  • Collaborate with cross‑functional teams to identify and implement improvements in automation processes.
  • Propose and execute innovative solutions to complex problems, contributing to the continuous improvement of our CAD automation capabilities.
Personal Character Traits
  • Detail‑Oriented – meticulous in work, ensuring accuracy and precision.
  • Analytical – strong analytical skills to understand complex systems and identify areas for improvement.
  • Resourceful – adept at finding creative solutions to challenges.
  • Self‑Motivated Learner – proactive in acquiring new knowledge and skills through research, training, and insightful questions.
  • Problem Solver – able to tackle higher‑level problems and execute decisions independently.
  • Collaborative – works well with others, sharing knowledge and supporting team members.
  • Leadership – demonstrates ability to take on leadership roles, guide and mentor team members, and contribute to strategic decision‑making.
Qualifications
  • Minimum 8+ years of working experience in CAD, DV, or related domains.
  • Strong programming skills in Python, Perl, TCL, GNU Make, and JavaScript.
  • Excellent communication and documentation skills.
  • Ability to work independently and as part of a team.
  • Preferred: Knowledge in VLSI design and verification, and EDA tools.
  • Education: Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or a related field with corresponding experience as outlined in the minimum qualifications section.
Minimum Qualifications
  • Bachelor’s degree in Science, Engineering, or related field with 6+ years of ASIC design, verification, validation, integration, or related work experience.
  • Master’s degree in Science, Engineering, or related field with 5+ years of ASIC design experience.
  • PhD in Science, Engineering, or related field with 4+ years of ASIC design experience.
Benefits & Compensation
  • Competitive salary range of $164,000.00 – $246,000.00.
  • Annual discretionary bonus program and opportunity for annual RSU grants.
  • Comprehensive benefits package designed to support success at work, at home, and at play.
Equal Employment Opportunity

Qualcomm is an equal‑opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures related to protection of confidential information.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985