AI ML Platform Jobs in USA with Visa Sponsorship
AI/ML Platform engineers are among the most actively sponsored roles in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for this specialty, and the work squarely qualifies as a specialty occupation under USCIS standards. For detailed occupation requirements, see the O*NET profile.
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We are looking for an experienced Windows platform architect to drive AI system performance and power enhancements into the SW and HW stacks and SW tools of state-of-the-art machine learning solutions on Snapdragon platform such that the AI performance and power is delivered to final applications while keeping application developer experience and ease of deployment competitively high. As a senior member of the team responsible for competitive advantages in end-to-end delivery of AI functionality, performance, power on Snapdragon compute platform, you will have opportunity to drive joint HW-SW design and architecture spec while representing requirements of Windows on Snapdragon application developers for multiple AI use-cases and ensure the Snapdragon AI platform, and tools deliver the industry leading performance and power including necessary security requirements. You will also study Enterprise agentic AI workflows, define, and drive implementation of on-device AI platform components such that Snapdragon becomes the preferred choice for Enterprise AI PCs. You will work closely with software and hardware architects, project engineers, product managers, customer engineers, OEMs, OS partners and application developers. Ideal candidate has extensive experience in architecture aware AI Model system performance optimization on Windows PC/Laptop, architecture aware benchmarking, and performance breakdown analysis with GPU, NPU, and knowledge of state of the art in AI for multiple domains such as Computer Vision, Audio, Generative AI, Agentic AI.
ROLE AND RESPONSIBILITIES
Understand trends in ML network design, through customer engagements and latest state of the art, and determine how this will affect both SW and HW design
Analyze bottlenecks in end to end use-cases and application of ML/AI algorithms and workloads on exploratory and existing Qualcomm HW and SW stacks through simulation and on-device characterization
On-device correlation and tuning of algorithm versus pre-silicon predictions
Analyze Enterprise AI workflows for common user personas and propose components that make Snapdragon AI PCs work complimentarily with cloud AI components of the enterprise workflow to deliver measurably increased productivity and user-experience for enterprise users
Interface with other cross-site and cross-functional teams to arrive at best-in-class performant reference implementations, tools, and documentation that are directly leveraged by 3rd party app developers
Analyze, develop, propose new features and designs to system design of next gen SoCs that reduce performance bottlenecks through the workflow
MINIMUM QUALIFICATIONS
* Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
SKILLS AND EXPERIENCE
Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU/NPU programming, and parallel computing. Experience with large language models/foundational models development and deployment a plus
Good Understanding of complete Software stack and familiarity with AI and other multimedia hardware acceleration technologies
Experience with performance optimization of AI application on Windows using processor specific optimization tools/libraries/primitives on GPU, NPU
Strong background in end to end system performance analysis using profiling tools, and algorithmic modification methods for performance improvement is essential
Knowledge of state of the art in Agentic AI
Knowledge of computer architecture, embedded system implementations
Strong software engineering principles are essential
Proficiency in programming languages such as Python, C++
Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders
Strong leadership abilities to motivate and guide development teams
Detail-oriented with strong problem-solving, analytical, and debugging skills with the ability to think strategically and drive innovative solutions
Demonstrated ability to learn, think and adapt in a fast-changing environment
Familiarity with software development methodologies, version control systems, and agile project management practices
15+ years experience in High Performance Computing System Engineering or Software with 5+ years in AI system optimization
* Masters or PhD in Computer Science or Electrical Engineering
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
PAY RANGE AND OTHER COMPENSATION & BENEFITS
$200,800.00 - $301,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
INTRODUCTION
We are looking for an experienced Windows platform architect to drive AI system performance and power enhancements into the SW and HW stacks and SW tools of state-of-the-art machine learning solutions on Snapdragon platform such that the AI performance and power is delivered to final applications while keeping application developer experience and ease of deployment competitively high. As a senior member of the team responsible for competitive advantages in end-to-end delivery of AI functionality, performance, power on Snapdragon compute platform, you will have opportunity to drive joint HW-SW design and architecture spec while representing requirements of Windows on Snapdragon application developers for multiple AI use-cases and ensure the Snapdragon AI platform, and tools deliver the industry leading performance and power including necessary security requirements. You will also study Enterprise agentic AI workflows, define, and drive implementation of on-device AI platform components such that Snapdragon becomes the preferred choice for Enterprise AI PCs. You will work closely with software and hardware architects, project engineers, product managers, customer engineers, OEMs, OS partners and application developers. Ideal candidate has extensive experience in architecture aware AI Model system performance optimization on Windows PC/Laptop, architecture aware benchmarking, and performance breakdown analysis with GPU, NPU, and knowledge of state of the art in AI for multiple domains such as Computer Vision, Audio, Generative AI, Agentic AI.
ROLE AND RESPONSIBILITIES
Understand trends in ML network design, through customer engagements and latest state of the art, and determine how this will affect both SW and HW design
Analyze bottlenecks in end to end use-cases and application of ML/AI algorithms and workloads on exploratory and existing Qualcomm HW and SW stacks through simulation and on-device characterization
On-device correlation and tuning of algorithm versus pre-silicon predictions
Analyze Enterprise AI workflows for common user personas and propose components that make Snapdragon AI PCs work complimentarily with cloud AI components of the enterprise workflow to deliver measurably increased productivity and user-experience for enterprise users
Interface with other cross-site and cross-functional teams to arrive at best-in-class performant reference implementations, tools, and documentation that are directly leveraged by 3rd party app developers
Analyze, develop, propose new features and designs to system design of next gen SoCs that reduce performance bottlenecks through the workflow
MINIMUM QUALIFICATIONS
* Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
SKILLS AND EXPERIENCE
Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU/NPU programming, and parallel computing. Experience with large language models/foundational models development and deployment a plus
Good Understanding of complete Software stack and familiarity with AI and other multimedia hardware acceleration technologies
Experience with performance optimization of AI application on Windows using processor specific optimization tools/libraries/primitives on GPU, NPU
Strong background in end to end system performance analysis using profiling tools, and algorithmic modification methods for performance improvement is essential
Knowledge of state of the art in Agentic AI
Knowledge of computer architecture, embedded system implementations
Strong software engineering principles are essential
Proficiency in programming languages such as Python, C++
Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders
Strong leadership abilities to motivate and guide development teams
Detail-oriented with strong problem-solving, analytical, and debugging skills with the ability to think strategically and drive innovative solutions
Demonstrated ability to learn, think and adapt in a fast-changing environment
Familiarity with software development methodologies, version control systems, and agile project management practices
15+ years experience in High Performance Computing System Engineering or Software with 5+ years in AI system optimization
* Masters or PhD in Computer Science or Electrical Engineering
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
PAY RANGE AND OTHER COMPENSATION & BENEFITS
$200,800.00 - $301,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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Get Access To All JobsTips for Finding AI ML Platform Jobs
Frame your role as infrastructure, not research
AI/ML Platform is distinct from applied ML, you build the systems others train on. Emphasize distributed systems, MLOps pipelines, and compute orchestration in your resume. Visa officers and employers respond to infrastructure framing over vague 'AI' titles.
Target companies with established ML infrastructure teams
Large-scale tech firms and AI-native companies already have USCIS-approved H-1B specialty occupation classifications for platform engineering roles. Applying to companies with prior approval history significantly reduces petition risk and employer hesitation around sponsorship.
Clarify your degree field on every application
USCIS requires a degree in a directly related field, computer science, computer engineering, and electrical engineering qualify cleanly. If your degree is adjacent, document coursework in systems design or distributed computing to strengthen the specialty occupation argument.
Highlight specific platform technologies in your materials
Kubernetes, Ray, Kubeflow, Spark, and Triton inference server are concrete signals that distinguish platform engineers from generalist ML practitioners. Specificity in tooling helps employers justify the specialty occupation requirement to USCIS when petitioning.
Understand your OPT and cap-gap timeline before applying
If you're on F-1 OPT, H-1B cap season runs January through April for October start dates. Platform roles at cap-exempt universities or research labs allow year-round filing, worth targeting if your OPT timeline doesn't align with the annual lottery.
Document production-scale impact, not just model performance
Sponsoring employers need to justify a specialty occupation petition. Resume bullet points quantifying platform throughput, uptime improvements, or training cost reductions give immigration counsel concrete evidence that the role requires specialized technical expertise.
Frequently Asked Questions
Does an AI/ML Platform engineer role qualify as a specialty occupation for H-1B purposes?
Yes. AI/ML Platform engineering requires at least a bachelor's degree in computer science, computer engineering, or a closely related field, meeting USCIS's specialty occupation definition. The role involves designing distributed training infrastructure, ML pipelines, and serving systems that require theoretical and applied depth. Generalist or non-technical degrees are unlikely to satisfy the field-of-study requirement without substantial supporting documentation.
Which visa types are most common for AI/ML Platform engineers?
H-1B visa is the most common path, though it requires winning the annual lottery. O-1A is a realistic alternative for engineers with strong publication records, open-source contributions, or documented industry recognition. Australians can pursue the E-3 visa, which has no lottery and far lower competition. Canadians and Mexicans may qualify under the TN visa's computer systems analyst category. Browse open roles on Migrate Mate filtered by visa type to identify which employers are actively sponsoring.
Do employers actually sponsor H-1B visas for platform engineering roles?
Yes, and frequently. Companies like Google, Meta, Amazon, Microsoft, and AI-native firms such as Databricks and Anyscale have substantial H-1B filing histories for ML infrastructure and platform roles. DOL disclosure data confirms platform engineering titles appear consistently across LCA filings. The key filter is employer size and existing immigration infrastructure; smaller startups may be willing but slower to initiate the process.
What degree do I need to get sponsored for an AI/ML Platform role?
A bachelor's degree or higher in computer science, computer engineering, electrical engineering, or a directly related technical field is the standard requirement. Degrees in mathematics or physics may qualify with strong systems-focused coursework. If your degree is in a less directly related field, three years of relevant professional experience can substitute for one year of education under USCIS equivalency standards, though this requires detailed documentation and an immigration attorney's support.
How competitive is the H-1B lottery for AI/ML Platform engineers?
In FY 2025, USCIS received approximately 442,000 registrations for 85,000 available slots, resulting in a selection rate around 25%. Engineers with a U.S. master's degree or higher enter a separate pool first, improving odds modestly. If you don't get selected, cap-exempt employers, universities, nonprofit research labs, and certain government entities, can file outside the lottery. TN visa, E-3, and O-1 visas bypass the cap entirely and are worth evaluating if lottery odds are a concern.
What is the prevailing wage requirement for sponsored AI ML Platform 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.