AI Engineer Jobs at Qualcomm with Visa Sponsorship
AI Engineer jobs at Qualcomm span chip-level inference, on-device machine learning, and media processing pipelines. The company has an established sponsorship process for this function and actively files across multiple visa categories, making it a viable target for international candidates pursuing long-term U.S. work authorization.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Services Group, Engineering Services Group > Engineering Operations
General Summary:
The AI Engineering Operations Analyst will support execution and operational effectiveness for Data Center AI project initiatives in the Engineering Operations organization. The Analyst role is hands on and detail oriented, focused on tracking progress, organizing information, supporting communication, and enabling smooth execution across the global Data Center AI team.
The ideal candidate has a strong technical interest in AI, strong analytical and organizational skills, and strong communication and presentation capabilities, including the ability to develop clear, compelling slide decks for large and diverse audiences.
This role will support planning, coordination, and execution of AI Engineering projects, including demos showcasing AI-enabled workflows, processes, tools, and platforms used by engineering teams.
The candidate will also support designing, documenting and scaling repeatable operational processes by leveraging AI tools and AI agents as “digital teammates” that can execute work across applications and learn over time.
Key Responsibilities
Program Planning & Analysis
- Support development and maintenance of program plans, schedules, and timelines for internal AI projects initiatives.
- Track milestones, dependencies, and deliverables; identify gaps, risks, and drive follow-through on action items for Engineering leadership.
- Collect, review, and consolidate weekly status reports from AI technical leads, ensuring accuracy, consistency, and timely delivery of executive-ready summaries and materials for leadership consumption.
- Act as a reliable point of contact for program documentation, schedules, communications, and presentation materials.
AI Demos & Organizational Engagement
- Support planning, execution, and logistics for AI demos across the organization.
- Coordinate schedules, materials, recordings, and follow up documentation for demos.
- Maintain a centralized repository of demo content, AI Agent “Skills & Prompts” library (versioned, governed) and presentation materials to support ongoing awareness and adoption.
Process Standardization & Automation
- Develop lightweight automation and analytics solutions (dashboards, trackers, structured repositories) that reinforce standard processes.
- Support building and maintaining automated reporting pack (dashboards + weekly status narratives) related to capacity, resource usage, and operational status.
- Collect feedback, monitor outcomes, and iterate processes/agents based on measured performance and user experience.
- Work closely with engineering, IT, product, and operations partners to support execution across enterprise AI initiatives.
Required Qualifications
- Experience in program analysis, operations, process improvement, project coordination, or technical program support
- Strong interest in AI and technology, with the ability to understand and follow technical discussions.
- Excellent organizational skills with strong attention to detail and follow through.
- Strong written, verbal, and visual communication skills, including demonstrated expertise creating professional PowerPoint presentations and executive-ready slide decks.
Preferred Qualifications
- Practical experience prototyping solutions and demos using AI, and building or managing AI-enabled workflows (agents, automation, prompt libraries, validation methods)
- Comfort working in fast changing technical environments with evolving priorities.
- Background in AI software development, HW engineering, or technical operations (hands on experience a plus, not required).
- Experience with program management tools and methodologies.
Minimum Qualifications:
- Bachelor's degree in Business, Engineering, Science, or related field.
OR
- Associate's degree and 2+ years of relevant work experience.
OR
- High School Diploma or equivalent and 4+ years of relevant work experience.
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:
- $108,000.00 - $162,000.00
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 Services Group, Engineering Services Group > Engineering Operations
General Summary:
The AI Engineering Operations Analyst will support execution and operational effectiveness for Data Center AI project initiatives in the Engineering Operations organization. The Analyst role is hands on and detail oriented, focused on tracking progress, organizing information, supporting communication, and enabling smooth execution across the global Data Center AI team.
The ideal candidate has a strong technical interest in AI, strong analytical and organizational skills, and strong communication and presentation capabilities, including the ability to develop clear, compelling slide decks for large and diverse audiences.
This role will support planning, coordination, and execution of AI Engineering projects, including demos showcasing AI-enabled workflows, processes, tools, and platforms used by engineering teams.
The candidate will also support designing, documenting and scaling repeatable operational processes by leveraging AI tools and AI agents as “digital teammates” that can execute work across applications and learn over time.
Key Responsibilities
Program Planning & Analysis
- Support development and maintenance of program plans, schedules, and timelines for internal AI projects initiatives.
- Track milestones, dependencies, and deliverables; identify gaps, risks, and drive follow-through on action items for Engineering leadership.
- Collect, review, and consolidate weekly status reports from AI technical leads, ensuring accuracy, consistency, and timely delivery of executive-ready summaries and materials for leadership consumption.
- Act as a reliable point of contact for program documentation, schedules, communications, and presentation materials.
AI Demos & Organizational Engagement
- Support planning, execution, and logistics for AI demos across the organization.
- Coordinate schedules, materials, recordings, and follow up documentation for demos.
- Maintain a centralized repository of demo content, AI Agent “Skills & Prompts” library (versioned, governed) and presentation materials to support ongoing awareness and adoption.
Process Standardization & Automation
- Develop lightweight automation and analytics solutions (dashboards, trackers, structured repositories) that reinforce standard processes.
- Support building and maintaining automated reporting pack (dashboards + weekly status narratives) related to capacity, resource usage, and operational status.
- Collect feedback, monitor outcomes, and iterate processes/agents based on measured performance and user experience.
- Work closely with engineering, IT, product, and operations partners to support execution across enterprise AI initiatives.
Required Qualifications
- Experience in program analysis, operations, process improvement, project coordination, or technical program support
- Strong interest in AI and technology, with the ability to understand and follow technical discussions.
- Excellent organizational skills with strong attention to detail and follow through.
- Strong written, verbal, and visual communication skills, including demonstrated expertise creating professional PowerPoint presentations and executive-ready slide decks.
Preferred Qualifications
- Practical experience prototyping solutions and demos using AI, and building or managing AI-enabled workflows (agents, automation, prompt libraries, validation methods)
- Comfort working in fast changing technical environments with evolving priorities.
- Background in AI software development, HW engineering, or technical operations (hands on experience a plus, not required).
- Experience with program management tools and methodologies.
Minimum Qualifications:
- Bachelor's degree in Business, Engineering, Science, or related field.
OR
- Associate's degree and 2+ years of relevant work experience.
OR
- High School Diploma or equivalent and 4+ years of relevant work experience.
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:
- $108,000.00 - $162,000.00
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 AI Engineer Jobs at Qualcomm
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Qualcomm.
Get Access To All JobsTips for Finding AI Engineer Jobs at Qualcomm
Frame your portfolio around on-device AI
Qualcomm's AI hiring centers on edge inference and neural processing units, not cloud-scale model training. Showcase projects involving model quantization, INT8 deployment, or TensorFlow Lite to signal direct relevance before your resume even reaches a recruiter.
Verify your employer's E-Verify enrollment early
Qualcomm participates in E-Verify, which is required for F-1 OPT STEM extensions. Confirm your offer letter references STEM OPT eligibility explicitly before your initial 12-month OPT period expires, since the extension window is narrow.
Distinguish H-1B1 from H-1B if you hold Chilean or Singaporean citizenship
Qualcomm sponsors H-1B1 visas, which skip the annual lottery entirely. If you qualify, target this category directly when discussing sponsorship with your recruiter rather than defaulting to the cap-subject H-1B process.
Target Qualcomm's media and entertainment AI teams
Roles focused on video codec optimization, real-time rendering AI, and spatial audio processing sit at the intersection of Qualcomm's chip business and media industry demand. Positioning yourself here narrows competition and aligns with active headcount growth in this vertical.
Align your start date with H-1B cap timelines
USCIS opens H-1B registration in March each year with an October 1 start date if selected. When negotiating your Qualcomm offer, confirm whether premium processing is on the table to reduce the I-129 adjudication window from several months to around 15 business days.
Use Migrate Mate to find open AI Engineer roles at Qualcomm
Qualcomm's AI Engineer postings are spread across multiple teams and requisition systems. Migrate Mate filters open roles by visa type and employer, so you can identify which Qualcomm positions are currently active for sponsored candidates without manually tracking their careers page.
Frequently Asked Questions
Does Qualcomm sponsor H-1B visas for AI Engineers?
Yes, Qualcomm sponsors H-1B visas for AI Engineers and has a well-established sponsorship process for this role category. The company files across both cap-subject H-1B and cap-exempt pathways depending on your situation, and also supports Green Card sponsorship through EB-2 and EB-3 classifications for longer-tenured employees moving toward permanent residence.
How do I apply for AI Engineer jobs at Qualcomm?
Applications go through Qualcomm's official careers portal, where AI Engineer roles are listed under engineering and research categories. Use Migrate Mate to browse currently open, visa-sponsorship-eligible AI Engineer positions at Qualcomm filtered by visa type, which saves time compared to manually tracking individual postings across Qualcomm's various business units and lab locations.
Which visa types does Qualcomm commonly use for AI Engineer roles?
Qualcomm sponsors H-1B, H-1B1 visa, TN visa, F-1 OPT, F-1 CPT, and J-1 visas for AI Engineers, along with immigrant visa pathways through EB-2 and EB-3 PERM labor certification. F-1 OPT holders in AI Engineering typically qualify for the 24-month STEM OPT extension, giving additional runway before an H-1B petition needs to be filed.
What qualifications does Qualcomm expect for AI Engineer roles?
Most Qualcomm AI Engineer postings require a bachelor's degree at minimum in computer science, electrical engineering, or a closely related field, with a master's or Ph.D. preferred for research-oriented positions. Practical experience with on-device machine learning frameworks, neural network optimization, and hardware-aware model deployment carries significant weight, particularly for roles tied to Qualcomm's Snapdragon and Hexagon processor lines.
How do I time the sponsorship process if I'm starting as an F-1 OPT student?
If you begin at Qualcomm on F-1 OPT, your employer needs to file your STEM OPT extension with USCIS at least 90 days before your initial OPT expires. Qualcomm would then file your H-1B registration in March for the following October start. Coordinating these two deadlines carefully, ideally within your first few months on the job, prevents gaps in work authorization.