ML Engineer Jobs at Qualcomm with Visa Sponsorship
Qualcomm's ML Engineer roles sit at the intersection of hardware-aware inference, on-device AI, and signal processing, shaped by the company's deep semiconductor roots. Qualcomm has a well-established sponsorship practice across multiple visa categories, making it a realistic target for international engineers pursuing U.S. work authorization.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
The successful applicant should have a strong theoretical background and first hands-on experience with enabling on-device AI using modern software engineering best practices.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Must have experience and skills:
- Strong Python and object-oriented SW design and implementation skills.
- Knowledge of deep learning and ML frameworks (i.e. PyTorch).
- Strong software design skills with a focus on usability.
- Strong analytical, debugging and problem-solving skills.
Preferred extra experience and skills:
- Knowledge of Generative AI (GenAI) technologies.
- Knowledge of neural network model optimization and on-target deployment is a plus.
- Knowledge of NPUs / ML accelerators.
- Knowledge of Android programming is plus.
- Optimization of algebraic operations in algorithms for HW cores is a plus.
- Knowledge of C/C++ and embedded software.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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.
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:
$122,800.00 - $184,200.00
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.
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
The successful applicant should have a strong theoretical background and first hands-on experience with enabling on-device AI using modern software engineering best practices.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Must have experience and skills:
- Strong Python and object-oriented SW design and implementation skills.
- Knowledge of deep learning and ML frameworks (i.e. PyTorch).
- Strong software design skills with a focus on usability.
- Strong analytical, debugging and problem-solving skills.
Preferred extra experience and skills:
- Knowledge of Generative AI (GenAI) technologies.
- Knowledge of neural network model optimization and on-target deployment is a plus.
- Knowledge of NPUs / ML accelerators.
- Knowledge of Android programming is plus.
- Optimization of algebraic operations in algorithms for HW cores is a plus.
- Knowledge of C/C++ and embedded software.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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.
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:
$122,800.00 - $184,200.00
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.
See all 49+ ML Engineer at Qualcomm jobs
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Get Access To All JobsTips for Finding ML Engineer Jobs at Qualcomm Jobs
Align your portfolio to on-device AI
Qualcomm's ML hiring centers on model quantization, edge inference, and hardware-software co-design for platforms like Snapdragon. Projects demonstrating deployment on resource-constrained hardware carry more weight than cloud-centric deep learning work.
Time OPT applications around Qualcomm's recruiting cycle
If you're on F-1 OPT, submit your EAD application to USCIS at least 90 days before your program end date. Qualcomm's campus and new-grad hiring peaks in fall, so your work authorization timeline needs to align with that window.
Prepare a specialty occupation paper trail
For H-1B sponsorship, Qualcomm's legal team will build a specialty occupation case around your role. Pull your official transcripts, any published research, and project documentation in advance so nothing slows the I-129 filing once an offer is extended.
Search verified sponsorship listings through Migrate Mate
Filter for ML Engineer openings at Qualcomm using Migrate Mate, which surfaces roles by visa type so you can target positions that match your specific authorization pathway rather than sorting through general job boards.
Account for PERM if you want a Green Card path
Qualcomm sponsors EB-2 and EB-3 Green Cards, which require DOL PERM labor certification before an I-140 petition can be filed. That process typically takes one to two years before priority date movement even begins, so factor that timeline into any long-term plans.
ML Engineer at Qualcomm jobs are hiring across the US. Find yours.
Find ML Engineer at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for ML Engineers?
Yes, Qualcomm sponsors H-1B visas for ML Engineer roles and has a dedicated immigration support function that works with outside counsel on I-129 petitions. Because H-1B is subject to the annual lottery, your offer timing relative to the April registration window matters. Qualcomm also sponsors H-1B1 for eligible nationals, which is not lottery-dependent and can be a faster path.
How do I apply for ML Engineer jobs at Qualcomm?
Applications go through Qualcomm's careers portal, where ML Engineer roles are listed under engineering and artificial intelligence categories. For a filtered view showing only visa-sponsoring positions, use Migrate Mate to browse current Qualcomm openings by visa type. Tailoring your resume to reflect on-device inference, Snapdragon platform experience, or model optimization will strengthen your application for these roles specifically.
Which visa types does Qualcomm commonly use for ML Engineer roles?
Qualcomm uses H-1B and H-1B1 most frequently for ML Engineers already outside the U.S. or transitioning from other status. F-1 OPT and CPT cover students and recent graduates, and TN is available for qualified Canadian and Mexican nationals in eligible classification categories. For longer-term pathways, Qualcomm supports EB-2 and EB-3 Green Card sponsorship, including PERM labor certification through the DOL.
What qualifications does Qualcomm expect for ML Engineer candidates?
Most ML Engineer roles at Qualcomm require a master's or Ph.D. in computer science, electrical engineering, or a closely related field, with specialization in machine learning or deep learning. Practical experience with model compression, quantization-aware training, or neural architecture search is frequently emphasized in job descriptions. Familiarity with Qualcomm's AI stack or prior work on embedded or mobile inference platforms strengthens a candidate's profile considerably.
How do I navigate the visa sponsorship process timeline at Qualcomm?
If you're offered an H-1B, Qualcomm's legal team initiates the USCIS filing process, but you should clarify your start date against the October 1 cap-subject employment start constraint. For F-1 OPT extensions via STEM OPT, USCIS recommends filing at least 90 days before OPT expiration. J-1 holders should verify whether their program carries a two-year home residency requirement before accepting an H-1B offer, since that restriction requires a waiver before status change.
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