Qualcomm H-1B Visa Sponsorship Jobs USA
Qualcomm is one of the most active H-1B visa sponsors in the United States, consistently filing for roles in semiconductor engineering, wireless technology, and software development. Its scale and established international hiring program make it a strong target for H-1B job seekers with technical backgrounds.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
- 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 3+ years experience working in a large matrixed organization.
- 2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
- 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
- Developed 1+ novel Machine Learning architecture(s).
Principal Duties and Responsibilities:
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops critical optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
- Leads the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and system-level features.
- Oversees and provides technical expertise to others conducting experiments to train and evaluate machine learning solutions.
Level of Responsibility:
- Works independently with minimal supervision.
- Provides supervision/guidance to other team members.
- Decision-making is significant in nature and affects work beyond immediate work group.
- Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
- Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
- Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
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 to 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:
$185,900.00 - $278,900.00
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:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
- 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 3+ years experience working in a large matrixed organization.
- 2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
- 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
- Developed 1+ novel Machine Learning architecture(s).
Principal Duties and Responsibilities:
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops critical optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
- Leads the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and system-level features.
- Oversees and provides technical expertise to others conducting experiments to train and evaluate machine learning solutions.
Level of Responsibility:
- Works independently with minimal supervision.
- Provides supervision/guidance to other team members.
- Decision-making is significant in nature and affects work beyond immediate work group.
- Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
- Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
- Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
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 to 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:
$185,900.00 - $278,900.00
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.
Job Roles at Qualcomm
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Get Access To All JobsTips for Finding Qualcomm H-1B Jobs
Target Qualcomm's core engineering divisions
Qualcomm's H-1B sponsorship is concentrated in hardware engineering, modem software, RF design, and machine learning. Focusing your application on these areas gives you the strongest chance of landing a role that qualifies for sponsorship.
Understand Qualcomm's H-1B timeline before you apply
Qualcomm typically begins the H-1B cap-subject process in January for an October 1 start date. Knowing this cycle helps you time your job search and avoid accepting an offer too late in the fiscal year.
Highlight specialized technical skills in your application
Qualcomm sponsors H-1B visas for specialty occupation roles requiring specific expertise. Candidates who clearly demonstrate niche skills in 5G, VLSI design, or AI research are far more competitive than generalist applicants.
Use verified sponsorship data when searching for open roles
Not every Qualcomm job listing makes sponsorship eligibility clear. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus only on roles where H-1B support is confirmed.
Leverage Qualcomm's campus recruiting relationships
Qualcomm actively recruits from university engineering programs. If you're on F-1 OPT, applying through campus channels can accelerate the H-1B conversion process since Qualcomm is already familiar with the sponsorship pathway for recent graduates.
Prepare for a multi-round technical interview process
Qualcomm's hiring process for H-1B-eligible roles is rigorous, often involving several rounds of technical interviews. Strong performance across all rounds signals the specialized competency Qualcomm needs to justify the sponsorship investment.
Qualcomm H-1B Visa Sponsorship: Frequently Asked Questions
Does Qualcomm sponsor H-1B visas?
Yes, Qualcomm sponsors H-1B visas and is one of the most consistent H-1B sponsors among U.S. technology companies. Sponsorship is primarily offered for engineering and technical roles where specialized degree-level expertise is required. Qualcomm has an established legal and HR infrastructure specifically for managing H-1B petitions.
Which roles and departments at Qualcomm typically receive H-1B sponsorship?
H-1B sponsorship at Qualcomm is concentrated in semiconductor engineering, modem and RF software development, machine learning research, and hardware design. Roles in these areas require highly specialized degrees that align directly with the H-1B specialty occupation standard. Corporate and non-technical roles are sponsored far less frequently.
How do I navigate the H-1B application process at Qualcomm?
Once Qualcomm extends a job offer, their immigration team works with an outside law firm to file your H-1B petition. You'll need to provide educational credentials, employment history, and degree verification. Qualcomm handles the Labor Condition Application and USCIS filing on your behalf, so your main responsibility is providing accurate documentation promptly.
How do I find H-1B jobs at Qualcomm that are open to sponsored candidates?
Qualcomm's careers page lists open roles but doesn't always make sponsorship eligibility explicit. Migrate Mate tracks verified H-1B sponsorship history by employer, so you can confirm Qualcomm's sponsorship pattern before applying and prioritize roles in divisions where H-1B filings are most frequent. This saves significant time compared to reaching out to recruiters role by role.
What timeline should I expect for H-1B sponsorship at Qualcomm?
For cap-subject H-1B petitions, Qualcomm typically begins preparation in early January for the April USCIS lottery. If selected, your employment start date is October 1. From offer acceptance to work authorization, the full process takes roughly nine months. Premium processing can shorten the post-lottery approval window to a few weeks if Qualcomm elects to use it.
What is the prevailing wage for H-1B jobs at Qualcomm?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.