Learning Specialist Visa Sponsorship Jobs in California
Learning specialist visa sponsorship jobs in California are concentrated in the tech sector, with employers like Google, Apple, Salesforce, and Meta hiring for instructional design and corporate learning roles. Universities, K-12 districts, and edtech companies across the Bay Area, Los Angeles, and San Diego also actively recruit international talent for these positions.
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Get Access To All JobsINTRODUCTION
NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today’s most sophisticated AI systems — from large language models to multimodal generative AI — all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible — including SGLang, vLLM, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.
ROLE AND RESPONSIBILITIES:
- Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.
- Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering.
- Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.
- Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.
- Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).
- Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies.
- Foster a culture of technical excellence, open collaboration, and continuous innovation.
BASIC QUALIFICATIONS:
- MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.
- 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.
- Strong background in C/C++ software design and development; proficiency in Python is a plus.
- Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.
- Proven record of deploying or optimizing deep learning models in production environments.
- Experience leading teams using Agile or collaborative software development practices.
PREFERRED QUALIFICATIONS:
- Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM, SGLang, Triton, or TensorRT-LLM.
- Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.
- Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.
- Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.
- Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, our rapid growth means endless opportunities for career advancement.
If you’re a passionate technical leader ready to shape the future of AI inference frameworks — and build the software that powers the world’s most advanced models — we’d love to hear from you.
LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 1, 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
NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today’s most sophisticated AI systems — from large language models to multimodal generative AI — all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible — including SGLang, vLLM, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.
ROLE AND RESPONSIBILITIES:
- Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.
- Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering.
- Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.
- Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.
- Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).
- Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies.
- Foster a culture of technical excellence, open collaboration, and continuous innovation.
BASIC QUALIFICATIONS:
- MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.
- 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.
- Strong background in C/C++ software design and development; proficiency in Python is a plus.
- Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.
- Proven record of deploying or optimizing deep learning models in production environments.
- Experience leading teams using Agile or collaborative software development practices.
PREFERRED QUALIFICATIONS:
- Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM, SGLang, Triton, or TensorRT-LLM.
- Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.
- Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.
- Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.
- Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, our rapid growth means endless opportunities for career advancement.
If you’re a passionate technical leader ready to shape the future of AI inference frameworks — and build the software that powers the world’s most advanced models — we’d love to hear from you.
LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 1, 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.
Learning Specialist Job Roles in California
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Search Learning Specialist Jobs in CaliforniaLearning Specialist Jobs in California: Frequently Asked Questions
Which companies sponsor visas for learning specialists in California?
Large tech employers are among the most active sponsors for learning specialist roles in California. Companies like Google, Apple, Meta, Salesforce, and Cisco regularly file H-1B visa petitions for instructional designers and corporate learning professionals. Beyond tech, the University of California system, major hospital networks, and edtech firms such as Coursera and Chegg have also sponsored international candidates for these positions.
Which visa types are most common for learning specialist roles in California?
The H-1B is the most common visa for learning specialists in California, provided the role requires at least a bachelor's degree in a related field such as instructional design, education technology, or organizational development. Applicants from Australia may qualify for the E-3 visa, while Canadian and Mexican nationals can explore TN visa status under the USMCA. O-1 visas are an option for specialists with demonstrated distinction in the field.
How to find learning specialist visa sponsorship jobs in California?
Migrate Mate is the most direct way to find learning specialist roles in California where employers are open to visa sponsorship. The platform filters jobs specifically for international candidates, saving time spent on roles where sponsorship is not available. Filtering by California and the learning specialist category surfaces positions at tech companies, universities, and edtech employers across the Bay Area, Los Angeles, and beyond.
Which cities in California have the most learning specialist sponsorship jobs?
The San Francisco Bay Area, including San Jose and Mountain View, sees the highest concentration of sponsored learning specialist roles due to the density of large tech employers. Los Angeles follows, driven by entertainment companies, healthcare systems, and a growing edtech presence. San Diego also has demand, particularly from biotech and defense contractors that maintain formal learning and development programs for large workforces.
Are there any California-specific considerations for learning specialist visa sponsorship?
California employers sponsoring H-1B workers must pay prevailing wages as determined by the Department of Labor for the specific location, and California's high cost of living means prevailing wage levels in metros like San Francisco and San Jose are among the highest in the country. California also has strong labor protections that apply to sponsored workers. The state's concentration of large tech and edtech employers means more companies have established immigration support processes compared to other states.
What is the prevailing wage for sponsored learning specialist 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.