H-1B Visa AI ML Platform Jobs
AI ML Platform roles sit squarely within H-1B specialty occupation territory, requiring at least a bachelor's degree in computer science, machine learning, or a closely related field. Employers filing LCAs for these positions routinely appear in DOL disclosure data, making sponsorship history verifiable before you apply.
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Get Access To All JobsINTRODUCTION
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 H-1B Visa Sponsorship in AI ML Platform
Verify your SOC code before interviewing
AI ML Platform roles typically file under SOC 15-1244 (Software Developers) or 15-2051 (Data Scientists). Confirm which code your prospective employer used on past LCAs so your degree field aligns with the specialty occupation definition USCIS will evaluate.
Pull employer LCA history on Migrate Mate
Search AI ML Platform roles on Migrate Mate to see which companies have active DOL Labor Condition Applications for this job category. Employers with recent LCA filings have already cleared the prevailing-wage certification step, reducing your offer-to-petition timeline.
Check prevailing wage before negotiating your offer
Use the OFLC Wage Search to look up the Level I through Level IV wage for your SOC code and work location ZIP code. Your offered salary must meet or exceed the certified wage, so knowing the floor before negotiation prevents offer rescissions at the LCA stage.
Document platform engineering contributions specifically
USCIS RFEs for ML platform roles often challenge whether the position requires a specific degree rather than any bachelor's. Organize portfolio evidence around distributed training infrastructure, model serving architecture, or MLOps pipeline design, all of which map to a computer science or engineering degree field.
Target cap-exempt employers if the lottery is a risk
Universities, nonprofit research organizations, and government-affiliated entities are cap-exempt, meaning they can file H-1B petitions year-round with no lottery exposure. AI and ML platform work exists at these institutions, particularly in research computing and scientific infrastructure teams.
Request premium processing before your OPT expires
USCIS adjudicates premium processing petitions within 15 business days. If your OPT end date is within 90 days of the April 1 filing window, ask your employer to elect premium processing so you have an approval or RFE response before your authorization lapses.
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Find AI ML Platform JobsAI ML Platform H-1B Visa: Frequently Asked Questions
Does an AI ML Platform role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job description requires at minimum a bachelor's degree in a specific technical field such as computer science, electrical engineering, or mathematics. Roles focused on ML infrastructure, distributed training systems, or model deployment pipelines routinely satisfy this standard. If the posting says a degree is preferred rather than required, the employer should revise the job requirements before filing the LCA with DOL.
Which employers sponsor H-1B visas for AI ML Platform jobs?
Large cloud providers, enterprise software companies, financial institutions with quantitative engineering teams, and well-funded AI startups regularly file LCAs for ML platform roles. Migrate Mate surfaces employers with verified DOL Labor Condition Application history for this job category, so you can filter your search to companies that have already demonstrated sponsorship activity rather than guessing from job postings.
Can I transfer my H-1B to a new AI ML Platform employer mid-status?
Yes. Under H-1B portability, you can start working for a new employer as soon as the transfer petition is filed with USCIS, without waiting for approval, as long as your prior H-1B was approved and you've maintained valid status. The new employer must file a new I-129 and obtain a fresh LCA from DOL certified to their worksite location and the applicable prevailing wage.
How does the H-1B prevailing wage apply to remote AI ML Platform roles?
The prevailing wage is tied to the worksite location listed on the LCA, not where the company is headquartered. For fully remote roles, DOL requires the employer to list your home address as the worksite and certify the prevailing wage for that location. If you relocate mid-employment, the employer may need to file an amended LCA and petition reflecting the new worksite. Use the OFLC Wage Search to check the wage floor for your home location before accepting a remote offer.
What happens to my H-1B status if my AI ML Platform role changes significantly after approval?
Material changes to job duties, salary, or worksite that fall outside the scope of the approved petition require an amended H-1B petition before the changes take effect. Moving from an individual contributor role to a team lead position with meaningfully different duties, or shifting from one SOC occupation code to another, typically triggers an amendment filing. USCIS evaluates whether the amended role still satisfies specialty occupation requirements under the original or a new LCA.
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