Applied AI Engineer Jobs in USA with Visa Sponsorship
Applied AI Engineers qualify for H-1B, O-1A, and EB-2 NIW visas based on their specialized machine learning expertise. Most positions require a computer science or related STEM degree, though the 3-for-1 experience rule can substitute. Major tech companies actively sponsor these roles. For detailed occupation requirements, see the O*NET profile.
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The VMware Cloud Foundation Division enables organizations around the world to run their business critical and modern applications in a secure, resilient, and cost-efficient manner. With our flagship product VMware vSphere, and our industry-leading technologies including vSAN, NSX and Aria, Broadcom customers receive the scale and agility of a public cloud with the security and performance of a private cloud. Modern infrastructure, accelerated application innovation, and predictable TCO savings and investment returns are just a few of the benefits from having a private cloud infrastructure powered by VMware Cloud Foundation. Together, our bold group of technology professionals with diverse backgrounds – spanning engineering, products, marketing, partners, professional services, and global support services – is focusing on what can be for the largest enterprises, governments, financial services, healthcare, manufacturing and educational institutions of the world.
Elevator Pitch
Large language models (LLMs) have rapidly evolved from simple assistive tools into sophisticated agents capable of driving multi-system workflows and taking on complex knowledge work. As enterprises deploy AI across business critical environments to boost productivity, these modern workloads will require highly optimized, scalable, and resilient infrastructure. The AI and Advanced Services team within the VMware Cloud Foundation (VCF) Division is seeking a highly skilled Applied AI Engineer. Working at the intersection of research and product engineering, you will help enable AI workloads to run seamlessly on VCF. This role requires a unique blend of deep AI expertise, hands-on experience with on-premise and cloud infrastructure, and cross functional collaboration to drive product outcomes. You will join a global team of senior engineers and technologists responsible for VCF's AI IaaS platform. By collaborating closely with product, engineering, and AI platform teams, you will help deliver highly performant, cost effective AI solutions across the VCF portfolio.
Responsibilities
- Design and implement enterprise scale AI infrastructure solutions to enable agents at scale.
- Develop optimizations for AI workloads to ensure maximum hardware utilization and efficiency.
- Leverage VCF runtime data to derive new insights that will inform performance and scalability improvements.
- Manage stakeholders effectively and solve ambiguous technical challenges that align to the overall strategy and roadmap for the team.
Requirements
- Deep practical knowledge of both theoretical and production designs for infrastructure and systems that support AI agents, including APIs, cloud services, and data pipelines.
- Strong analytical and problem-solving skills, the ability to work both independently and collaboratively with diverse stakeholders.
- Excellent written and verbal communication skills preferably demonstrated through technical blogs, published research, and talks.
- Hands-on experience with agentic AI coding tools such as Cursor, Codex, or Claude Code.
- BS with 8, MS with 5 or PhD with 3 years of experience in computer science, machine learning or equivalent practical experience with specialization in cloud or on-premise infrastructure preferred.
- Proven track record of taking a novel concept, engineering a solution and driving its adoption to a product at scale.
Location
This job is onsite in Palo Alto, California
Compensation And Benefits
The annual base salary range for this position is $120,000 - $192,000. This position is also eligible for a discretionary annual bonus in accordance with relevant plan documents, and equity in accordance with equity plan documents and equity award agreements. Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
R025337
Job Description:
The VMware Cloud Foundation Division enables organizations around the world to run their business critical and modern applications in a secure, resilient, and cost-efficient manner. With our flagship product VMware vSphere, and our industry-leading technologies including vSAN, NSX and Aria, Broadcom customers receive the scale and agility of a public cloud with the security and performance of a private cloud. Modern infrastructure, accelerated application innovation, and predictable TCO savings and investment returns are just a few of the benefits from having a private cloud infrastructure powered by VMware Cloud Foundation. Together, our bold group of technology professionals with diverse backgrounds – spanning engineering, products, marketing, partners, professional services, and global support services – is focusing on what can be for the largest enterprises, governments, financial services, healthcare, manufacturing and educational institutions of the world.
Elevator Pitch
Large language models (LLMs) have rapidly evolved from simple assistive tools into sophisticated agents capable of driving multi-system workflows and taking on complex knowledge work. As enterprises deploy AI across business critical environments to boost productivity, these modern workloads will require highly optimized, scalable, and resilient infrastructure. The AI and Advanced Services team within the VMware Cloud Foundation (VCF) Division is seeking a highly skilled Applied AI Engineer. Working at the intersection of research and product engineering, you will help enable AI workloads to run seamlessly on VCF. This role requires a unique blend of deep AI expertise, hands-on experience with on-premise and cloud infrastructure, and cross functional collaboration to drive product outcomes. You will join a global team of senior engineers and technologists responsible for VCF's AI IaaS platform. By collaborating closely with product, engineering, and AI platform teams, you will help deliver highly performant, cost effective AI solutions across the VCF portfolio.
Responsibilities
- Design and implement enterprise scale AI infrastructure solutions to enable agents at scale.
- Develop optimizations for AI workloads to ensure maximum hardware utilization and efficiency.
- Leverage VCF runtime data to derive new insights that will inform performance and scalability improvements.
- Manage stakeholders effectively and solve ambiguous technical challenges that align to the overall strategy and roadmap for the team.
Requirements
- Deep practical knowledge of both theoretical and production designs for infrastructure and systems that support AI agents, including APIs, cloud services, and data pipelines.
- Strong analytical and problem-solving skills, the ability to work both independently and collaboratively with diverse stakeholders.
- Excellent written and verbal communication skills preferably demonstrated through technical blogs, published research, and talks.
- Hands-on experience with agentic AI coding tools such as Cursor, Codex, or Claude Code.
- BS with 8, MS with 5 or PhD with 3 years of experience in computer science, machine learning or equivalent practical experience with specialization in cloud or on-premise infrastructure preferred.
- Proven track record of taking a novel concept, engineering a solution and driving its adoption to a product at scale.
Location
This job is onsite in Palo Alto, California
Compensation And Benefits
The annual base salary range for this position is $120,000 - $192,000. This position is also eligible for a discretionary annual bonus in accordance with relevant plan documents, and equity in accordance with equity plan documents and equity award agreements. Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
R025337
How to Get Visa Sponsorship as an Applied AI Engineer
Target ML-focused companies with established sponsorship programs
Companies like Google, Meta, Microsoft, and NVIDIA regularly sponsor Applied AI Engineers. Their dedicated immigration teams understand the specialized nature of ML roles and visa requirements.
Emphasize your specialized AI/ML training and certifications
Highlight advanced coursework in neural networks, deep learning frameworks, and MLOps. Specialized training demonstrates the technical expertise required for H-1B specialty occupation requirements.
Document your experience with production ML systems
Experience deploying models at scale, optimizing inference performance, and building ML pipelines shows specialized knowledge that supports visa petitions and distinguishes you from general software roles.
Consider the EB-2 NIW pathway for advanced AI research
If you have publications, patents, or contributions to open-source AI frameworks, the National Interest Waiver provides a direct green card path without employer sponsorship.
Apply early in the fiscal year for H-1B cap-subject positions
H-1B registration opens in March for April lottery. Cap-exempt employers like universities and research institutions offer year-round opportunities without lottery constraints.
Build a portfolio showcasing deployed AI applications
GitHub repositories, technical blogs, and deployed models demonstrate your specialized expertise. This documentation strengthens both job applications and visa petition evidence requirements.
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Get Access To All JobsFrequently Asked Questions
Do Applied AI Engineers qualify for H-1B visa sponsorship?
Yes, Applied AI Engineers typically qualify for H-1B sponsorship as the role requires specialized knowledge in machine learning, neural networks, and AI frameworks. You'll need a bachelor's degree in computer science, mathematics, engineering, or related field. The position must demonstrate specialty occupation requirements through complex AI/ML responsibilities.
Can I get sponsored without a computer science degree?
Yes, degrees in mathematics, statistics, physics, or engineering can qualify if combined with relevant AI/ML coursework or experience. The 3-for-1 rule allows three years of specialized AI experience to substitute for one year of education. Certifications in TensorFlow, PyTorch, or cloud ML platforms strengthen your case.
Which visa is best for Applied AI Engineers with research experience?
The EB-2 NIW (National Interest Waiver) is ideal if you have AI research publications, patents, or contributions to significant ML projects. It provides a direct path to a green card without employer sponsorship. O-1A visas work for those with extraordinary ability in AI research or industry recognition.
What's the H-1B approval rate for AI and ML positions?
Computer occupations, including AI/ML roles, have approximately 85-90% H-1B approval rates when properly documented. Denials typically occur when job duties aren't sufficiently specialized or degree requirements aren't clearly established. Strong LCA documentation and detailed role descriptions improve approval odds significantly.
Can Applied AI Engineers transfer H-1B status between employers?
Yes, H-1B portability allows you to start working for a new employer once they file your H-1B transfer petition (Form I-129). You don't need to wait for approval. The new position must still qualify as a specialty occupation with appropriate degree requirements and AI/ML responsibilities.
What is the prevailing wage requirement for sponsored Applied AI Engineer jobs?
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.
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