Green Card AI ML Platform Jobs
AI ML Platform roles qualify for EB-2 sponsorship when the position requires an advanced degree in machine learning, computer science, or a related field, and for EB-3 when a bachelor's degree meets the specialty occupation standard. Your employer files a PERM labor certification with the DOL before the I-140 petition, permanently tying your green card path to the role.
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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.
See all 56+ Green Card AI ML Platform Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Platform
Document your ML specialization for PERM
PERM requires your employer to prove the job genuinely requires your specific credentials. Gather transcripts, published research, and project documentation that link your advanced degree or specialized training directly to the AI ML Platform role's stated requirements.
Target employers with active I-140 filing history
Companies that have filed I-140 petitions for ML engineers in the past are already familiar with PERM requirements for technical roles. Prioritize these employers early, since their HR and legal teams won't need to be educated on the process from scratch.
Verify your SOC code before the offer stage
AI ML Platform roles typically fall under SOC 15-2051 or 15-1212. The SOC code your employer selects drives the prevailing wage determination from the OFLC Wage Search, so confirm it matches your actual duties before the job order is posted.
Negotiate the PERM timeline into your offer
PERM labor certification can take 12 to 18 months before the I-140 is even filed. Ask during offer negotiations whether the employer will start PERM immediately or delay, since that decision directly affects when your priority date is established.
Use Migrate Mate to filter for green card sponsoring roles
Search Migrate Mate to find AI ML Platform positions at employers with confirmed EB-2 and EB-3 sponsorship history, so you're applying to companies already set up to run PERM rather than ones that have never filed before.
Cross-check your O*NET profile against your job description
USCIS scrutinizes whether your duties match the specialty occupation definition. Pull the O*NET profile for your role's SOC code and confirm your offer letter's responsibilities align, since mismatches between the two are a common source of RFEs on I-140 petitions.
Green Card AI ML Platform: Frequently Asked Questions
Do AI ML Platform roles qualify for EB-2 or EB-3 green card sponsorship?
Most AI ML Platform positions qualify for EB-2 because they require an advanced degree in machine learning, computer science, statistics, or a closely related field. If the role requires only a bachelor's degree, it can qualify under EB-3 as a professional position. The classification affects your priority date queue but not your eligibility for PERM labor certification, which is required under both categories.
How does green card sponsorship for this role differ from H-1B sponsorship?
Green card sponsorship through PERM is a permanent immigration pathway, not a temporary status renewal. There is no annual lottery at the EB-3 level, and your employer files a labor certification with the DOL rather than competing for a cap slot. The process takes longer, often two to four years from PERM filing to an approved I-485, but the outcome is lawful permanent residency rather than a visa tied to your employer's continued sponsorship.
What does the PERM labor certification process look like for AI ML Platform positions?
Your employer must conduct a supervised recruitment campaign to demonstrate no qualified U.S. worker is available for the role. For AI ML Platform jobs, the DOL will assign a prevailing wage based on your SOC code and work location. The employer posts the position, collects and reviews applications, documents the results, and files ETA Form 9089. Only after DOL certifies that form does your employer file the I-140 petition with USCIS.
How do I find employers that will actually sponsor a green card for an AI ML Platform role?
Search Migrate Mate to identify companies with a documented history of EB-2 and EB-3 sponsorship for ML and platform engineering roles. Many employers in this space have sponsored before but don't advertise it in job postings. Filtering by sponsorship history means you start conversations with teams whose legal and HR processes are already built for PERM rather than negotiating from zero.
Can my employer start PERM while I'm on H-1B status, and what happens if my H-1B expires during the process?
Yes, your employer can file PERM while you're in valid H-1B visa status, and this is the standard path for most sponsored professionals in ML roles. If your H-1B expires before your green card is approved, you can extend it in three-year increments under AC21 portability rules once your I-140 is approved and your priority date is within one year of becoming current.