ML Software Engineer Jobs at Qualcomm with Visa Sponsorship
ML Software Engineer jobs at Qualcomm sit at the intersection of advanced neural network research and production-grade semiconductor deployment. The company has an established track record of sponsoring international talent across multiple visa categories, making it a realistic target for skilled engineers who need 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:
This individual independently plans, performs the moderately-defined responsibility for the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products. Responsibilities include integration, testing and performance optimization for embedded software subsystems, as well as the implementation of new tools. Other responsibilities include developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features; and/or working closely with HW teams for joint design/development. This individual may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algorithms on HW. Coordinates dependencies with other teams, developing tools to improve the process, and assisting with the verification of the deliverables. Acts as a strong contributor at design reviews and project meetings.
Basic Qualifications:
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field.
Compensation:
- Pay Range: $140,800.00 - $211,200.00/year
Applicants:
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.
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:
This individual independently plans, performs the moderately-defined responsibility for the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products. Responsibilities include integration, testing and performance optimization for embedded software subsystems, as well as the implementation of new tools. Other responsibilities include developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features; and/or working closely with HW teams for joint design/development. This individual may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algorithms on HW. Coordinates dependencies with other teams, developing tools to improve the process, and assisting with the verification of the deliverables. Acts as a strong contributor at design reviews and project meetings.
Basic Qualifications:
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field.
Compensation:
- Pay Range: $140,800.00 - $211,200.00/year
Applicants:
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.
If you would like more information about this role, please contact Qualcomm Careers.
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Get Access To All JobsTips for Finding ML Software Engineer Jobs at Qualcomm
Align your portfolio to on-device inference
Qualcomm's ML work centers on deploying models to edge hardware through platforms like the AI Engine and Hexagon DSP. Highlight projects involving model quantization, pruning, or ONNX/TFLite optimization rather than cloud-scale training work.
Target roles that map to specialty occupation criteria
USCIS approves H-1B petitions when the role demonstrably requires a specific degree. Frame your ML Software Engineer application around computer science, electrical engineering, or AI specializations rather than general software experience to strengthen the specialty occupation argument.
Find open ML roles at Qualcomm through Migrate Mate
Qualcomm posts ML Software Engineer openings across multiple business units including compute, wireless, and automotive. Use Migrate Mate to filter specifically for Qualcomm roles that list visa sponsorship so you apply where authorization is confirmed.
Initiate the LCA conversation before accepting an offer
Your employer must file a certified Labor Condition Application with DOL before USCIS can adjudicate your H-1B petition. Asking your recruiter about LCA timelines before signing signals preparedness and avoids surprises that delay your start date.
Use OPT strategically if you are transitioning from F-1 status
F-1 graduates with STEM degrees qualify for a 24-month OPT extension, giving you up to three years of work authorization. That window covers two H-1B lottery cycles and keeps you employed at Qualcomm while your petition is pending.
Prepare your transcripts and credential evaluations early
Qualcomm hires ML Software Engineers with degrees from international universities, but non-U.S. credentials need equivalency documentation before USCIS will accept them. A credential evaluation from a NACES-member evaluator is the standard evidence and can take several weeks to obtain.
Frequently Asked Questions
Does Qualcomm sponsor H-1B visas for ML Software Engineers?
Yes, Qualcomm sponsors H-1B visas for ML Software Engineers and has done so consistently across its semiconductor, wireless, and automotive business units. The company also sponsors H-1B1 visas for Chilean and Singaporean nationals. Sponsorship is typically confirmed during the offer stage, and Qualcomm's recruiting team is experienced with the process given how frequently they hire international talent for technical roles.
How do I apply for ML Software Engineer jobs at Qualcomm?
Apply directly through Qualcomm's careers portal, where ML Software Engineer roles are listed by product area and location. Before applying, use Migrate Mate to identify which open Qualcomm roles explicitly offer visa sponsorship so you target the right positions. Tailor your resume to highlight edge ML, model optimization, or hardware-aware inference work, as those skills align with what Qualcomm's ML teams prioritize in candidates.
Which visa types does Qualcomm commonly use for ML Software Engineers?
Qualcomm sponsors H-1B and H-1B1 visas for the majority of its international ML Software Engineers. F-1 OPT and CPT are used for students and recent graduates, including those on STEM OPT extensions. TN visas are an option for Canadian and Mexican nationals. For longer-term permanent residence, Qualcomm supports EB-2 and EB-3 Green Card pathways through the PERM labor certification process.
What qualifications does Qualcomm expect for ML Software Engineer roles?
Qualcomm typically requires a bachelor's degree in computer science, electrical engineering, or a closely related field, with a master's or PhD preferred for research-adjacent positions. Practical experience with on-device or embedded ML frameworks, such as TensorFlow Lite, PyTorch Mobile, or Qualcomm's own AI SDK, carries significant weight. Proficiency in C++ alongside Python is commonly expected given the hardware proximity of the work.
How do I time the H-1B process if I receive a Qualcomm offer?
USCIS opens H-1B registration each March for the lottery, with an October 1 start date for selected petitions. If you receive a Qualcomm offer outside that window, you'll likely start on F-1 OPT, TN, or another bridging status while your employer prepares the petition. Qualcomm's in-house immigration team coordinates DOL LCA certification and USCIS filing, but confirming your current status expiration dates with them early prevents gaps in work authorization.