Software Engineer AI Jobs at Qualcomm with Visa Sponsorship
Qualcomm's Software Engineer AI roles sit at the intersection of on-device machine learning and silicon-level optimization, drawing candidates who work across inference engines, neural processing units, and AI frameworks. Qualcomm has a strong track record of sponsoring international engineers across multiple visa categories for this function.
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Get Access To All JobsINTRODUCTION
We are seeking a highly skilled and experienced Staff Software Engineer with 5-10+ years of expertise in AI/ML to join our dynamic team. The ideal candidate will have a strong background in model development, including Convolutional Neural Networks (CNN), experience in quantization and model debugging.
ROLE AND RESPONSIBILITIES
- Develop and optimize AI/ML models to work on edge devices.
- Perform model quantization and debugging to ensure high performance and efficiency.
- Conduct CPU profiling and manage DDR to optimize system performance.
- Implement and deploy ML models and AI applications on edge devices.
- Develop AI applications and agentic apps on LLM and multi-modal models.
- Collaborate with cross-functional teams to integrate AI solutions into wireless and networking systems.
- Utilize cloud technologies to enhance AI/ML model deployment and scalability.
BASIC QUALIFICATIONS
- Minimum 5+ years of experience in AI/ML model development and deployment.
- Proficiency in CNNs, quantization, and model debugging.
- Experience with DDR and CPU profiling.
- Strong understanding of ML models and AI applications on edge devices.
- Knowledge of wireless LAN and networking technologies is desirable.
- Experience with cloud technologies is desirable.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and teamwork skills.
PREFERRED QUALIFICATIONS
- 8+ years of experience with popular AI/ML frameworks such as TensorFlow, PyTorch, etc.
- Familiarity with edge computing platforms and tools.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
If you are passionate about AI/ML and have the required experience, we would love to hear from you!
MINIMUM QUALIFICATIONS
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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
- Pay Range: $151,900.00 - $227,900.00
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.
INTRODUCTION
We are seeking a highly skilled and experienced Staff Software Engineer with 5-10+ years of expertise in AI/ML to join our dynamic team. The ideal candidate will have a strong background in model development, including Convolutional Neural Networks (CNN), experience in quantization and model debugging.
ROLE AND RESPONSIBILITIES
- Develop and optimize AI/ML models to work on edge devices.
- Perform model quantization and debugging to ensure high performance and efficiency.
- Conduct CPU profiling and manage DDR to optimize system performance.
- Implement and deploy ML models and AI applications on edge devices.
- Develop AI applications and agentic apps on LLM and multi-modal models.
- Collaborate with cross-functional teams to integrate AI solutions into wireless and networking systems.
- Utilize cloud technologies to enhance AI/ML model deployment and scalability.
BASIC QUALIFICATIONS
- Minimum 5+ years of experience in AI/ML model development and deployment.
- Proficiency in CNNs, quantization, and model debugging.
- Experience with DDR and CPU profiling.
- Strong understanding of ML models and AI applications on edge devices.
- Knowledge of wireless LAN and networking technologies is desirable.
- Experience with cloud technologies is desirable.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and teamwork skills.
PREFERRED QUALIFICATIONS
- 8+ years of experience with popular AI/ML frameworks such as TensorFlow, PyTorch, etc.
- Familiarity with edge computing platforms and tools.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
If you are passionate about AI/ML and have the required experience, we would love to hear from you!
MINIMUM QUALIFICATIONS
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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
- Pay Range: $151,900.00 - $227,900.00
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.
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Get Access To All JobsTips for Finding Software Engineer AI Jobs at Qualcomm Jobs
Align your portfolio to Qualcomm's AI stack
Qualcomm's AI hiring centers on Snapdragon NPU optimization, ONNX and TensorFlow Lite deployment, and on-device inference. Tailor your resume and GitHub projects to reflect edge AI work, not cloud-first architectures, before you apply.
Clarify your visa category before interviewing
Qualcomm sponsors multiple nonimmigrant categories including H-1B, TN, and H-1B1. Knowing which category fits your citizenship and degree before your recruiter screen prevents misaligned expectations and speeds up the offer-stage sponsorship conversation.
Time your OPT application to your final semester
F-1 students should file the OPT application with their DSO no later than 90 days before their program end date. Starting at Qualcomm on OPT gives you up to 36 months of STEM extension authorization if your role qualifies, covering multiple H-1B lottery cycles.
Use Migrate Mate to surface open AI roles at Qualcomm
Qualcomm posts Software Engineer AI roles across multiple teams and business units, making it easy to miss relevant openings. Use Migrate Mate to filter for Qualcomm roles that are actively sponsoring, so you're applying to positions with confirmed visa support.
Request a specialty occupation confirmation from your recruiter
USCIS scrutinizes H-1B petitions for roles where the degree requirement is ambiguous. For AI engineering roles, confirm with Qualcomm's recruiting team that the position requires a degree specifically in computer science, electrical engineering, or a directly related field before your petition is filed.
Account for PERM timing if targeting a Green Card
If you're on H-1B and planning to pursue an EB-2 or EB-3 Green Card through Qualcomm, the DOL PERM labor certification process alone can take 12 to 18 months before the I-140 is even filed. Factor this into your long-term employment timeline when negotiating your initial offer.
Software Engineer AI at Qualcomm jobs are hiring across the US. Find yours.
Find Software Engineer AI at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for Software Engineer AIs?
Yes, Qualcomm sponsors H-1B visas for Software Engineer AI roles. The company has a well-established immigration program and works with candidates from the H-1B lottery stage through petition filing. If you're already in H-1B status with another employer, Qualcomm can file an H-1B transfer, letting you start work as soon as USCIS receives the petition.
How do I apply for Software Engineer AI jobs at Qualcomm?
Apply directly through Qualcomm's careers portal, where AI engineering roles are posted by team and product line. Roles span areas like Snapdragon AI software, machine learning compiler infrastructure, and on-device model optimization. You can also browse verified Qualcomm openings that include visa sponsorship details on Migrate Mate, which filters roles by sponsorship category so you can confirm support before applying.
Which visa types does Qualcomm commonly use for Software Engineer AI roles?
Qualcomm sponsors H-1B, H-1B1, TN, J-1, and F-1 OPT and CPT for Software Engineer AI positions, as well as EB-2 and EB-3 immigrant visa categories for permanent residence. H-1B is the most common path for candidates from India and most other countries. Australian and Singaporean citizens may be eligible for H-1B1, which bypasses the annual lottery.
What qualifications does Qualcomm expect for Software Engineer AI roles?
Most Software Engineer AI postings at Qualcomm require a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Practical experience with deep learning frameworks such as PyTorch or TensorFlow, familiarity with quantization and model compression techniques, and hands-on work with inference optimization on edge hardware are commonly listed requirements. A PhD can be advantageous for roles focused on novel AI research or compiler development.
How long does the visa sponsorship process take for a Qualcomm Software Engineer AI offer?
If you're starting on F-1 OPT, you can begin work immediately while Qualcomm files your H-1B petition in the April lottery window. Standard H-1B processing takes three to five months after USCIS acceptance, but Qualcomm typically uses premium processing, which reduces adjudication to around 15 business days. For Green Card sponsorship through EB-2 or EB-3, expect the full PERM and I-140 process to take one to two years before priority date considerations apply.
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