Engineering Manager Visa Sponsorship Jobs in California
California is the top state for engineering manager visa sponsorship, driven by Silicon Valley, Los Angeles, and San Diego tech corridors. Companies like Google, Meta, Apple, Salesforce, and Nvidia regularly sponsor engineering managers. Demand spans software, hardware, AI, and semiconductor industries, making California home to more sponsoring employers than any other state.
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Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.
As a Sr. Manager of Engineering, you will lead a highly specialized team of machine learning engineers and applied researchers focused on AI models and behavioral causality. You will guide the execution and development of state-of-the-art foundation models that parse complex urban edge cases, driving the technical roadmap to add rich semantics to our massive driving data. By leading the charge on understanding the "why" behind driving decisions, your team will power the L4 data and evaluation engine that serves as the ultimate data mining platform for our autonomous partners.
What You Will Do
Team Leadership & Growth: Build, manage, and mentor a high-performing engineering team of ML experts, AI modelers, and data scientists. Foster a culture of rigorous scientific experimentation, high-velocity execution, and engineering excellence.
AI Model Execution: Drive the day-to-day development of advanced autonomy algorithms and foundation models. Ensure your team successfully extracts high-fidelity semantic meaning from multi-modal sensor data to enrich our L4 data lake.
Technical Strategy & Engineering Rigor: Collaborate with technical leadership to steer foundational architectural choices. Maintain uncompromising quality for deployed systems, ensuring performance is tuned for low-latency execution of large scale data.
Cross-Functional Collaboration: Partner closely with Directors, Principal Engineers, Product Managers, and infrastructure teams to align your team's ML modeling efforts with broader business goals and ensure seamless deployment at scale.
Basic Qualifications
- 8+ years of software engineering experience in applied ML, AI modeling, or Autonomous Systems.
- 3+ years of experience managing engineering teams, with a track record of leading high-performing ML or AI organizations.
- Proven experience delivering complex, large-scale AI models or ML pipelines from conception to production.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields.
- Deep expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow) and Python/Linux environments.
Preferred Qualifications
- Advanced degree (MS or PhD) in Robotics, Machine Learning, Computer Vision, or a related field.
- Deep technical understanding of AI foundation models, multi-modal perception, and causal behavior modeling.
- Prior experience in the Autonomous Vehicle (AV) industry, specifically focused on offline evaluation, 3P data understanding, or autonomous data mining (as opposed to embedded on-car execution).
- Strong background in guiding teams to build models that process, structure, and query massive datasets to enable advanced scene representation.
- Excellent communication skills with the ability to translate complex technical concepts into strategic roadmaps for cross-functional partners.
Compensation
- For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.
- For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
About the Role
Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.
As a Sr. Manager of Engineering, you will lead a highly specialized team of machine learning engineers and applied researchers focused on AI models and behavioral causality. You will guide the execution and development of state-of-the-art foundation models that parse complex urban edge cases, driving the technical roadmap to add rich semantics to our massive driving data. By leading the charge on understanding the "why" behind driving decisions, your team will power the L4 data and evaluation engine that serves as the ultimate data mining platform for our autonomous partners.
What You Will Do
Team Leadership & Growth: Build, manage, and mentor a high-performing engineering team of ML experts, AI modelers, and data scientists. Foster a culture of rigorous scientific experimentation, high-velocity execution, and engineering excellence.
AI Model Execution: Drive the day-to-day development of advanced autonomy algorithms and foundation models. Ensure your team successfully extracts high-fidelity semantic meaning from multi-modal sensor data to enrich our L4 data lake.
Technical Strategy & Engineering Rigor: Collaborate with technical leadership to steer foundational architectural choices. Maintain uncompromising quality for deployed systems, ensuring performance is tuned for low-latency execution of large scale data.
Cross-Functional Collaboration: Partner closely with Directors, Principal Engineers, Product Managers, and infrastructure teams to align your team's ML modeling efforts with broader business goals and ensure seamless deployment at scale.
Basic Qualifications
- 8+ years of software engineering experience in applied ML, AI modeling, or Autonomous Systems.
- 3+ years of experience managing engineering teams, with a track record of leading high-performing ML or AI organizations.
- Proven experience delivering complex, large-scale AI models or ML pipelines from conception to production.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields.
- Deep expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow) and Python/Linux environments.
Preferred Qualifications
- Advanced degree (MS or PhD) in Robotics, Machine Learning, Computer Vision, or a related field.
- Deep technical understanding of AI foundation models, multi-modal perception, and causal behavior modeling.
- Prior experience in the Autonomous Vehicle (AV) industry, specifically focused on offline evaluation, 3P data understanding, or autonomous data mining (as opposed to embedded on-car execution).
- Strong background in guiding teams to build models that process, structure, and query massive datasets to enable advanced scene representation.
- Excellent communication skills with the ability to translate complex technical concepts into strategic roadmaps for cross-functional partners.
Compensation
- For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.
- For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Engineering Manager Job Roles in California
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Search Engineering Manager Jobs in CaliforniaEngineering Manager Jobs in California: Frequently Asked Questions
Which companies sponsor visas for engineering managers in California?
Large tech employers are the most active sponsors for engineering manager roles in California. Companies like Google, Apple, Meta, Amazon, Microsoft, Salesforce, Nvidia, Adobe, and Intuit have consistent histories of sponsoring H-1B visa and other work visas for management-level engineering positions. Established enterprise firms and well-funded startups in the Bay Area and Los Angeles also sponsor regularly, though smaller companies do so less predictably.
Which visa types are most common for engineering manager roles in California?
The H-1B is the most common visa for engineering managers in California, as the role typically requires a bachelor's degree or higher in computer science, electrical engineering, or a related field, satisfying the specialty occupation requirement. Senior candidates may qualify for the O-1A based on extraordinary ability. Some multinational engineering managers transfer via the L-1A intracompany transferee visa for managerial roles.
How to find engineering manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to find engineering manager roles in California without sorting through employers who don't sponsor. You can filter by state and role type to surface positions at companies actively hiring international candidates. This is more efficient than broad searches that mix sponsoring and non-sponsoring employers together.
Which cities in California have the most engineering manager sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Mountain View, and San Francisco itself, concentrates the highest volume of engineering manager sponsorship jobs in California. Los Angeles is a strong secondary market, particularly in aerospace, entertainment technology, and e-commerce. San Diego has a notable cluster of engineering manager roles in biotech, defense technology, and wireless communications firms.
Are there any California-specific considerations for engineering manager visa sponsorship?
California's prevailing wage requirements under H-1B rules are higher than most other states, reflecting the state's elevated cost of living and competitive tech market. Employers must certify wages meeting Department of Labor prevailing wage levels for the specific metropolitan area, which varies between the Bay Area, Los Angeles, and San Diego. UC Berkeley, Stanford, USC, and UCLA also serve as significant pipelines feeding international talent into California's engineering manager hiring pool.
What is the prevailing wage for sponsored engineering manager 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.