Genai Software Engineer Jobs in California
Genai software engineer jobs in California rank among the most active in the country, concentrated in AI research, enterprise software, cloud infrastructure, and consumer technology across a range from entry-level to principal and staff engineer. The largest hiring metros are San Francisco, San Jose, and Los Angeles, where companies like Google, Meta, and Salesforce maintain major engineering hubs and consistently recruit for generative AI roles. The most in-demand specialties include large language model fine-tuning, retrieval-augmented generation systems, and AI platform engineering. Find a role that fits below and apply directly.
Find Genai Software Engineer JobsOverview
Showing 5 of 14+ Genai Software Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience building and developing large-scale infrastructure or distributed systems.
- 1 year of experience with data structures and algorithms.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- Experience in backend coding languages such as GOLang, Rust, or Java.
- Experience in ML model coding languages (e.g., Python).
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience building and developing large-scale infrastructure or distributed systems.
- 1 year of experience with data structures and algorithms.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- Experience in backend coding languages such as GOLang, Rust, or Java.
- Experience in ML model coding languages (e.g., Python).
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
See All 14 Genai Software Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Genai Software Engineer JobsGenai Software Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Genai Software Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
What California Employers Look For
The qualifications that appear most often in genai software engineer jobs across California.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience building or fine-tuning large language models or diffusion models
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms including AWS, Google Cloud, or Azure for model deployment
- Familiarity with retrieval-augmented generation, vector databases, and prompt engineering
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD pipelines
Genai Software Engineer Jobs in California: Frequently Asked Questions
How do you become a genai software engineer in California?
There is no state-issued license required to work as a genai software engineer in California. Most roles require a bachelor's or master's degree in computer science, machine learning, or a closely related field from a California university system or equivalent. From there, employers look for demonstrated experience through research publications, open-source contributions, or project portfolios. Building hands-on projects with transformer-based models and applying through California's dense tech ecosystem is the most direct path.
How much do genai software engineers make in California?
Genai software engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire genai software engineers in California?
Employers hiring genai software engineers in California right now include Google, Apple, and Nuro, based on current listings on Migrate Mate as of August 2026. California's concentration of AI-focused headquarters and research labs means demand is distributed across large technology companies, AI startups in the Bay Area, and enterprise software firms with significant Southern California operations.
Which California cities have the most genai software engineer jobs?
Sunnyvale, Mountain View, and Cupertino have the most genai software engineer openings in California. San Francisco and San Jose lead because of the Bay Area's dense cluster of AI-native companies and major technology headquarters, while Los Angeles has grown into a secondary hub driven by entertainment technology, fintech, and a growing cohort of generative AI startups headquartered there.
Are there remote genai software engineer jobs in California?
Yes, and more than most fields. About 0% of genai software engineer openings tied to California are remote or hybrid as of August 2026, reflecting how well the role's core work translates to distributed teams. Research-heavy and model evaluation tasks are the most commonly offered as fully remote, while roles involving proprietary hardware or on-site GPU clusters typically require in-person presence.
How can I get hired as a genai software engineer in California with little or no experience?
The most realistic entry path is through a machine learning engineer or software engineer role at a California company that has an internal AI team, then transitioning once you have relevant project exposure. Large California employers like Google, Meta, and Apple run new-grad rotational programs and research residencies that accept candidates without industry experience. Building a public portfolio of generative AI projects and contributing to open-source model repositories gives candidates a concrete edge when applying through these programs.
Where can I find and apply to genai software engineer jobs in California?
You can find and apply to genai software engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your background and apply directly from the listings on this page.
See All 14 Genai Software Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Genai Software Engineer Jobs