AI ML Engineering Jobs at Qualcomm with Visa Sponsorship

AI ML Engineering jobs at Qualcomm involve work on on-device inference, neural processing units, and model optimization across semiconductor and media applications. Qualcomm has a strong track record of sponsoring international engineers across multiple visa categories, making it a realistic target for candidates who need work authorization.

Find AI ML Engineering Jobs at Qualcomm

Overview

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

Showing 5 of 17+ AI ML Engineering Jobs at Qualcomm

Qualcomm
Director of Engineering for ML hardware design & Architecture
We won't show you this job again
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

Have you applied for this role?

Qualcomm
Senior Machine Learning Software Engineer
We won't show you this job again
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+

Have you applied for this role?

Qualcomm
Machine Learning Researcher
We won't show you this job again
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+

Have you applied for this role?

Qualcomm
Machine Learning Compiler Engineer
We won't show you this job again
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+

Have you applied for this role?

Qualcomm
Sr Engineer, Machine Learning
We won't show you this job again
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+

Have you applied for this role?

See all AI ML Engineering Jobs at Qualcomm

Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs at Qualcomm.

Get Access To All Jobs

See all AI ML Engineering Jobs at Qualcomm

Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs at Qualcomm.

Get Access To All Jobs

Tips for Finding AI ML Engineering Jobs at Qualcomm

Align your portfolio to on-device ML

Qualcomm prioritizes engineers who can optimize models for edge deployment on Snapdragon hardware. Before applying, build or document projects involving quantization, pruning, or TensorFlow Lite and ONNX runtime, since cloud-only ML experience alone is unlikely to clear their technical screens.

Target roles tied to Qualcomm AI Research

Qualcomm posts AI ML roles under both its product engineering and AI Research divisions. Roles under AI Research carry stronger sponsorship urgency because they fill specialized headcount, which makes hiring managers more willing to move quickly on candidates who need H-1B or OPT authorization.

Search open AI ML roles on Migrate Mate

Migrate Mate filters Qualcomm's open AI ML Engineering positions specifically by visa sponsorship eligibility, so you're not sorting through listings that exclude international candidates. Use it to identify which teams are actively hiring before you reach out to recruiters.

Clarify your OPT timeline in the first call

Qualcomm's hiring cycles for technical roles can run two to four months. If you're on F-1 OPT with less than six months remaining, flag this in your recruiter screen so the team can sequence your H-1B cap-subject filing for April 1 and avoid a status gap.

Understand how Qualcomm structures LCA filings

Qualcomm files Labor Condition Applications with DOL before each H-1B petition. Ask your recruiting contact which worksite location your role is coded to, since LCA prevailing wage levels are tied to the work location and affect how the petition is classified under USCIS specialty occupation standards.

Request a split between cap-subject and cap-exempt paths

If Qualcomm engages you through a university research collaboration or government contract, ask HR whether your position qualifies as cap-exempt. Cap-exempt H-1B petitions can be filed year-round with USCIS and do not require the annual lottery, giving you a predictable start date.

Frequently Asked Questions

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

Yes, Qualcomm sponsors H-1B visas for AI ML Engineering roles and has done so consistently across multiple fiscal years. The company files both cap-subject petitions through the annual USCIS lottery and, where applicable, cap-exempt petitions. Sponsorship is generally available for full-time positions, though contract and contingent roles may not be eligible.

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

Apply directly through Qualcomm's careers portal. Tailor your resume to emphasize ML model development, hardware-aware optimization, and any experience with Qualcomm's AI stack or similar NPU architectures. Migrate Mate lists Qualcomm's open AI ML Engineering roles filtered by visa sponsorship eligibility, so you can confirm a role supports international candidates before submitting your application.

Which visa types does Qualcomm commonly sponsor for AI ML Engineering roles?

Qualcomm sponsors H-1B and H-1B1 visas for AI ML Engineering positions and supports F-1 OPT and CPT for students and recent graduates. The company also files employment-based Green Card petitions, including EB-2 and EB-3 categories, for employees in longer-term roles. TN visa and J-1 visa classifications are available depending on the candidate's nationality and role type.

What qualifications does Qualcomm expect for AI ML Engineering positions?

Most AI ML Engineering roles at Qualcomm require a bachelor's or master's degree in computer science, electrical engineering, or a related field, with hands-on experience in deep learning frameworks such as PyTorch or TensorFlow. Roles focused on Qualcomm's hardware products place additional weight on model compression, on-device inference, and familiarity with edge AI pipelines or ONNX-based deployment workflows.

How do I time my application if my OPT or visa status is expiring soon?

If you're on F-1 OPT, confirm that your authorization end date leaves enough runway for Qualcomm to complete its hiring cycle, which typically runs two to four months for technical roles. For H-1B cap-subject cases, USCIS accepts petitions starting April 1 for an October 1 start date. Discuss your timeline with the recruiter early so the team can plan the filing sequence around your status.