AI ML Engineer Jobs at Qualcomm with Visa Sponsorship

AI ML Engineer jobs at Qualcomm involve building the machine learning systems behind its chip platforms, on-device AI, and media processing pipelines. The company has a structured immigration program that supports international candidates across multiple visa categories, making it a realistic target for sponsored roles.

Find AI ML Engineer Jobs at Qualcomm

Overview

Open Jobs17+
Top Visa TypeH-1B
Work Type100% On-site
Top LocationSan Diego, CA

Showing 5 of 17+ AI ML Engineer Jobs at Qualcomm

Qualcomm
Director of Engineering for ML hardware design & Architecture
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Qualcomm
Added 5mo ago
Director of Engineering for ML hardware design & Architecture
Qualcomm
San Diego, California
Specialized Engineering
Engineering (Non-Software)
$228k - $343k/yr
On-Site
Master's

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Qualcomm
Senior Machine Learning Software Engineer
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Qualcomm
Added 1d ago
Senior Machine Learning Software Engineer
Qualcomm
San Diego, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Embedded Systems Engineering
$141k - $211k/yr
On-Site
Master's
10,000+

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Qualcomm
Machine Learning Researcher
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Qualcomm
Added 5d ago
Machine Learning Researcher
Qualcomm
San Diego, California
Software Engineering
Data Science & Analytics
Research & Academia
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$159k - $239k/yr
On-Site
Master's
10,000+

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Qualcomm
Machine Learning Compiler Engineer
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Qualcomm
Added 1mo ago
Machine Learning Compiler Engineer
Qualcomm
New York, New York
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$201k - $301k/yr
On-Site
Master's
10,000+

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Qualcomm
Sr Engineer, Machine Learning
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Qualcomm
Added 2mo ago
Sr Engineer, Machine Learning
Qualcomm
San Diego, California
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
$141k - $211k/yr
On-Site
Bachelor's
10,000+

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Tips for Finding AI ML Engineer Jobs at Qualcomm

Align your portfolio to on-device AI

Qualcomm's AI ML hiring centers on inference optimization, neural network quantization, and edge deployment. Preparing project work or publications that demonstrate these skills specifically positions you ahead of candidates with only cloud-side ML backgrounds.

Target teams working on Hexagon DSP

Qualcomm's AI Engine and Hexagon processor teams post ML roles that blend hardware-aware model development with software. Identifying job postings that reference these platforms tells you which hiring managers are most likely running active sponsorship pipelines.

Confirm LCA filing before accepting an offer

Your employer must file a certified Labor Condition Application with DOL before submitting your H-1B petition to USCIS. Ask your Qualcomm recruiter for a timeline on LCA certification so you can plan your start date without assuming immediate work authorization.

Use OPT strategically during the H-1B gap

If you're on F-1 OPT and miss the H-1B lottery, a STEM OPT extension gives you up to 24 additional months. Qualcomm is an E-Verify participant, which is a mandatory requirement for STEM OPT extensions, so your authorization won't be interrupted while you wait for the next cap season.

Understand Qualcomm's PERM pathway for senior roles

For senior or staff-level AI ML positions, Qualcomm often initiates PERM-based Green Card sponsorship. DOL's PERM process typically takes 12 to 18 months before an I-140 petition can be filed, so raise long-term sponsorship intent early in final-round interviews.

Browse open roles before your job search stalls

Filter for AI ML Engineer openings at Qualcomm that explicitly support visa sponsorship using Migrate Mate. Seeing which specific teams are actively hiring helps you tailor your outreach rather than applying broadly across a company of this size.

Frequently Asked Questions

Does Qualcomm sponsor H-1B visas for AI ML Engineers?

Yes. Qualcomm sponsors H-1B visas for AI ML Engineers and has a well-established immigration support program for technical roles. Because Qualcomm participates in the H-1B cap each year, sponsorship is subject to the annual lottery. If you're already on an approved H-1B with another employer, a transfer to Qualcomm avoids the lottery entirely.

How do I apply for AI ML Engineer jobs at Qualcomm?

Apply directly through Qualcomm's careers portal, targeting roles that list your specific ML discipline, whether that's model training, inference optimization, or on-device deployment. Tailor your resume to Qualcomm's focus areas, such as its AI Engine and Snapdragon platforms. You can also browse verified sponsorship-eligible openings at Qualcomm through Migrate Mate before applying.

Which visa types does Qualcomm commonly use for AI ML Engineer roles?

Qualcomm sponsors H-1B, H-1B1 visa, TN visa, J-1 visa, and F-1 OPT and CPT for AI ML Engineer positions, alongside EB-2 and EB-3 Green Card pathways for longer-term sponsorship. H-1B is the most common route for full-time hires. TN visa is available to Canadian and Mexican nationals in qualifying ML roles. H-1B1 visa is a cap-exempt option for Chilean and Singaporean nationals.

What qualifications does Qualcomm expect for AI ML Engineer positions?

Most AI ML Engineer roles at Qualcomm require a Master's or PhD in computer science, electrical engineering, or a closely related field, given the hardware-adjacent nature of the work. Practical experience with deep learning frameworks, model compression, and deployment on resource-constrained devices is weighted heavily. Publications or prior work with quantization, pruning, or neural architecture search are strong differentiators in technical screenings.

How long does the H-1B sponsorship process take at a company like Qualcomm?

For cap-subject H-1B petitions, the timeline is tied to USCIS's annual lottery, which opens in March for an October 1 start date. After selection, standard processing runs three to five months. Qualcomm typically uses premium processing for critical hires, which reduces USCIS adjudication to 15 business days. Factor in DOL's LCA certification, which precedes the petition and usually takes seven to ten business days.