Software Engineer AI Visa Sponsorship Jobs in California
California leads the U.S. in AI-focused software engineering hiring, with major employers like Google, Meta, Apple, and OpenAI concentrated in the Bay Area, and a growing cluster of AI startups in Los Angeles. Most roles require deep experience in machine learning frameworks, large language models, or AI infrastructure, and many companies have established H-1B visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
ROLE AND RESPONSIBILITIES
- Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
- Build and deploy AI/ML models and applications for Manufacturing of Boards and Chips.
- Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
- Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
- Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
- Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
BASIC QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field (or equivalent experience).
- 5+ years of software engineering experience with strong proficiency in Python and backend application development.
- Hands-on experience with AI/ML, Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
- Experience integrating enterprise applications and building scalable, production-ready software solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Self-driven individual with the ability to work independently in a fast-paced environment.
PREFERRED QUALIFICATIONS
- Experience with AI/ML models, Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, Autogen, or Microsoft Agent Framework.
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
INTRODUCTION
We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
ROLE AND RESPONSIBILITIES
- Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
- Build and deploy AI/ML models and applications for Manufacturing of Boards and Chips.
- Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
- Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
- Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
- Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
BASIC QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field (or equivalent experience).
- 5+ years of software engineering experience with strong proficiency in Python and backend application development.
- Hands-on experience with AI/ML, Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
- Experience integrating enterprise applications and building scalable, production-ready software solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Self-driven individual with the ability to work independently in a fast-paced environment.
PREFERRED QUALIFICATIONS
- Experience with AI/ML models, Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, Autogen, or Microsoft Agent Framework.
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
Software Engineer AI Job Roles in California
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Search Software Engineer AI Jobs in CaliforniaSoftware Engineer AI Jobs in California: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in California?
California's largest H-1B sponsors for AI software engineering roles include Google, Meta, Apple, Amazon, Microsoft, and Nvidia, all with substantial Bay Area or Los Angeles offices. AI-native companies like OpenAI, Anthropic, Scale AI, and Databricks have also consistently sponsored H-1B and O-1 visa petitions for engineers working on machine learning systems, model training infrastructure, and applied AI products.
Which visa types are most common for software engineer AI roles in California?
The H-1B is the most common visa for AI software engineers in California, as these roles typically require at least a bachelor's degree in computer science, machine learning, or a closely related field, meeting the specialty occupation standard. Engineers with exceptional research records or published work may qualify for the O-1A. Australians may pursue the E-3 visa, which has no lottery and is available year-round.
Which cities in California have the most software engineer AI sponsorship jobs?
San Francisco and the broader Bay Area, including San Jose, Mountain View, and Palo Alto, account for the largest share of AI software engineering sponsorship jobs in California. Los Angeles has grown significantly as a secondary hub, driven by companies like Snap, SpaceX, and a dense cluster of generative AI startups. San Diego also has relevant hiring, particularly in defense-adjacent AI and biomedical AI.
How to find software engineer ai visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find AI software engineering roles in California without sorting through positions that don't sponsor. You can search by job title and filter to California-based openings, focusing on companies with a track record of H-1B or O-1 filings in machine learning, NLP, computer vision, and related AI specializations.
Are there state-specific considerations for AI software engineers seeking sponsorship in California?
California's prevailing wage requirements for H-1B roles are among the highest in the U.S., set by the Department of Labor based on the San Francisco or Los Angeles metropolitan area, which directly affects the minimum wage your employer must certify on the Labor Condition Application. Additionally, California's large university pipeline from UC Berkeley, Stanford, and UCLA means competition for sponsored AI roles is significant, and employers often prioritize candidates with graduate-level AI research experience.
What is the prevailing wage for sponsored software engineer ai jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.