Staff Engineer Jobs at Qualcomm with Visa Sponsorship
Staff Engineer jobs at Qualcomm span hardware design, software systems, and silicon architecture, with a consistent track record of sponsoring international talent across multiple visa categories. If you're targeting a technical leadership position here, Qualcomm has established pathways to support your work authorization from offer through long-term status.
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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 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
* PhD in Computer Science, Engineering, Information Systems, or related field and 2+ 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 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 experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
* 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
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 advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops 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.
Develops and applies 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 working features.
Oversees and conducts experiments to train and evaluate machine learning models and/or software.
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 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:
$158,400.00 - $237,600.00
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 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
* PhD in Computer Science, Engineering, Information Systems, or related field and 2+ 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 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 experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
* 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
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 advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops 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.
Develops and applies 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 working features.
Oversees and conducts experiments to train and evaluate machine learning models and/or software.
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 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:
$158,400.00 - $237,600.00
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 62+ Staff Engineer Jobs at Qualcomm
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer Jobs at Qualcomm.
Get Access To All JobsTips for Finding Staff Engineer Jobs at Qualcomm
Align your portfolio to Qualcomm's tech stack
Qualcomm's Staff Engineer roles emphasize modem firmware, RFFE systems, or multimedia processing pipelines. Tailor your resume and project portfolio to reflect hands-on work at that architectural level before you apply, not after you receive interest.
Verify your OPT or CPT timeline before applying
If you're on F-1 OPT, confirm your remaining authorization window against Qualcomm's typical offer-to-start lead time. A gap between OPT expiry and H-1B cap-subject start date on October 1 can disrupt onboarding if not planned early.
Target Qualcomm's San Diego and Austin engineering hubs
Staff Engineer openings cluster around Qualcomm's core semiconductor and media technology sites. Prioritizing these locations increases your chances of landing on a team with existing H-1B or TN sponsorship infrastructure already in place.
Use Migrate Mate to surface open Staff Engineer roles
Qualcomm posts Staff Engineer positions across multiple job boards, but not all surface sponsorship context. Use Migrate Mate to filter specifically for Qualcomm roles where H-1B or other work authorization support has been documented, so you're not guessing.
Clarify sponsorship scope during the offer stage
Qualcomm sponsors multiple visa categories, but not every team sponsors every type. During negotiations, confirm whether your offer covers H-1B cap filing, Green Card PERM initiation, or both, so there are no surprises after you accept.
Prepare an experience-equivalency brief for USCIS petitions
Staff Engineer titles at Qualcomm often involve specialized domain expertise that may need supporting documentation beyond a degree. A well-organized brief linking your technical work to the DOL specialty occupation standard strengthens your H-1B petition considerably.
Frequently Asked Questions
Does Qualcomm sponsor H-1B visas for Staff Engineers?
Yes, Qualcomm sponsors H-1B visas for Staff Engineers and has a well-established process for doing so across its engineering teams. The company also supports H-1B1 visa and TN visa categories depending on your nationality. Sponsorship is typically handled through Qualcomm's in-house immigration team, though not every open role or business unit will initiate a new cap-subject petition, so confirming scope during the offer stage is essential.
How do I apply for Staff Engineer jobs at Qualcomm?
Applications go through Qualcomm's careers portal at qualcomm.com/careers. Staff Engineer roles typically require you to submit a resume, and shortlisted candidates go through a multi-stage technical interview process covering systems design, domain architecture, and coding. You can also find and filter Qualcomm's Staff Engineer openings on Migrate Mate, which surfaces roles with documented sponsorship context so you can prioritize where to focus your applications.
Which visa types does Qualcomm commonly use for Staff Engineers?
Qualcomm sponsors several visa categories for Staff Engineers, including the H-1B, H-1B1 visa (available to Chilean and Singaporean nationals), TN (for Canadian and Mexican nationals under USMCA), and F-1 OPT and CPT for current students. For longer-term pathways, Qualcomm also supports EB-2 and EB-3 Green Card sponsorship and J-1 visa exchange visitors, giving it broad flexibility across candidate profiles and nationalities.
What qualifications does Qualcomm expect for Staff Engineer roles?
Staff Engineer roles at Qualcomm generally require a bachelor's degree in electrical engineering, computer engineering, or a closely related field, with a master's or PhD preferred for research-adjacent tracks. Beyond credentials, Qualcomm looks for deep technical ownership in areas like RF systems, multimedia codecs, or low-level software architecture. Prior experience at the principal or senior engineer level, with demonstrated impact on product architecture, is typically expected.
How do I understand the visa filing timeline once I have a Qualcomm offer?
For cap-subject H-1B petitions, USCIS opens registration in March for an October 1 start date, so your offer timing relative to that window matters. If you're already on a valid status like OPT, Qualcomm can file for a change of status without requiring you to leave the U.S. For TN, the process is faster and can often be completed at the port of entry within weeks of an offer being finalized.