Senior AI Software Engineer Jobs in California
Senior AI Software Engineer jobs in California represent one of the most active and competitive markets in the country, concentrated in enterprise software, cloud infrastructure, autonomous systems, and biotech AI across companies at every level from growth-stage startups to global headquarters. The largest hiring hubs are San Francisco, San Jose, and Los Angeles, where employers such as Google, Meta, and Salesforce maintain deep senior engineering teams focused on large language models, MLOps, and AI platform development. The most in-demand specialties are generative AI, reinforcement learning, and applied machine learning at scale. Find a role that fits below and apply directly.
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Showing 5 of 172+ Senior AI Software Engineer jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience with storage technology (e.g., block storage, object storage, file storage) and distributed file systems (e.g., Lustre used for AI workloads).
- Experience managing cloud storage solutions for data storage, retrieval, or AI/ML training data.
- Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.
Preferred qualifications:
- Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience in compute technologies, storage, or hardware architecture.
- Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.
- Experience in relational Database Management System (RDBMS) kernel or RDBMS storage.
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.
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
- Design high-performance distributed storage systems optimized for large-scale AI training workloads.
- Optimize data pipelines and storage I/O throughput to eliminate bottlenecks in machine learning training.
- Implement scalable caching strategies to accelerate data access for deep learning frameworks.
- Develop robust system monitoring and telemetry tools to track storage performance and reliability metrics.
- Architect fault-tolerant storage architectures that ensure high availability and data durability.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience with storage technology (e.g., block storage, object storage, file storage) and distributed file systems (e.g., Lustre used for AI workloads).
- Experience managing cloud storage solutions for data storage, retrieval, or AI/ML training data.
- Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.
Preferred qualifications:
- Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience in compute technologies, storage, or hardware architecture.
- Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.
- Experience in relational Database Management System (RDBMS) kernel or RDBMS storage.
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.
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
- Design high-performance distributed storage systems optimized for large-scale AI training workloads.
- Optimize data pipelines and storage I/O throughput to eliminate bottlenecks in machine learning training.
- Implement scalable caching strategies to accelerate data access for deep learning frameworks.
- Develop robust system monitoring and telemetry tools to track storage performance and reliability metrics.
- Architect fault-tolerant storage architectures that ensure high availability and data durability.
See All 172+ Senior AI Software Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Google19
- NVIDIA13
- Qualcomm7
- TikTok6
- University of San Diego6
Top Industries Hiring
- Technology & Software15
- Artificial Intelligence3
- Biotechnology & Pharmaceuticals2
- Electronics & Hardware1
- Healthcare & Medical Services1
What California Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Five or more years of software engineering experience with a focus on AI or machine learning systems
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Demonstrated experience deploying large-scale ML models in production cloud environments
- Strong background in distributed systems, data pipelines, and model optimization techniques
- Experience collaborating cross-functionally with research scientists and product teams on AI initiatives
Senior AI Software Engineer Jobs in California: Frequently Asked Questions
How do you become a senior ai software engineer in California?
Reaching the senior level in California typically requires a bachelor's or master's degree in computer science or a closely related discipline combined with several years of hands-on experience building and shipping production AI systems. There is no state-issued license for this role in California, so advancement depends on a portfolio of measurable technical contributions, experience with large-scale infrastructure, and often a track of mentorship or technical leadership recognized by California employers in technology, defense, and life sciences.
How much do senior AI software engineers make in California?
Senior AI 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 senior ai software engineers in California?
Employers hiring senior ai software engineers in California right now include Google, NVIDIA, and Qualcomm, based on current listings on Migrate Mate as of November 2026. California's density of AI-focused headquarters and research labs means hiring activity is especially consistent across the San Francisco Bay Area and Greater Los Angeles corridors.
Which California cities have the most senior ai software engineer jobs?
San Francisco, Santa Clara, and Sunnyvale have the most senior ai software engineer openings in California. San Francisco and San Jose dominate because the Bay Area houses the global headquarters and core engineering campuses of the largest AI-driven technology companies, while Los Angeles has grown into a significant hub driven by entertainment tech, aerospace AI, and a rapidly expanding startup ecosystem.
Are there remote senior ai software engineer jobs in California?
Yes, and more than most fields. About 63% of senior ai software engineer openings tied to California are remote or hybrid as of November 2026, reflecting how much of the work centers on code, model development, and cloud infrastructure rather than on-site hardware. The portions of the role most frequently offered remotely include model research, ML platform engineering, and data pipeline development.
How can I get hired as a senior ai software engineer in California with little or no experience?
The most realistic entry path is securing an associate or junior machine learning engineer role and building toward seniority through measurable project ownership. Large California employers such as Google, Apple, and Salesforce run structured new-grad and university-hire programs that place candidates into AI and ML teams with mentorship built in. Lateral moves from software engineering, data science, or research engineering are also common. A strong GitHub portfolio demonstrating end-to-end model development, or a published contribution to an open-source AI project, gives California candidates a clear edge in a crowded applicant pool.
Where can I find and apply to senior ai software engineer jobs in California?
You can find and apply to senior ai software engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the available roles, find the ones that fit your background and location, and apply directly through each listing.
See All 172+ Senior AI Software Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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