AI Data Engineer Jobs at Qualcomm with Visa Sponsorship
AI Data Engineer jobs at Qualcomm involve building and scaling the data infrastructure powering its semiconductor and platform products. The company has an established visa sponsorship process for this function, supporting candidates across multiple nonimmigrant and immigrant pathways from offer through permanent residence.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
General Summary:
The Qualcomm Data Center AI System Hardware and Validation Engineering team develops rack-level AI inference solutions for next-generation, liquid-cooled data centers. As the organization continues to grow, the team is seeking experienced Technical Leads to help deliver the next wave of innovative AI products.
As a System Hardware and Validation Technical Lead, you will partner with SoC, software/firmware, rack-level system design, and manufacturing teams. Collaborating closely with peer leads, you will ensure program activities are well planned, tracked, and executed against phase-gate milestones from concept through production.
- Lead execution for next-generation Qualcomm rack-scale designs within a matrixed organization spanning multiple teams and global sites.
- Define and manage requirements, scope, schedules, and deliverables in alignment with engineering teams, partners, and stakeholders.
- Own rack-level integration plans across compute nodes/accelerators, PCIe fabrics, networking, storage, power delivery, cooling, and rack management/telemetry.
- Drive firmware/software/hardware co-design execution, aligning BIOS/BMC/Redfish/telemetry requirements with hardware schedules and validation gates.
- Lead cross-functional design reviews and readiness reviews (architecture, schematic/layout, SI/PI, thermal, mechanical, firmware, manufacturing), and close actions to schedule.
- Coordinate platform-level debug and instrumentation (telemetry, logging, health monitoring) to accelerate failure analysis and improve observability.
- Establish and run triage mechanisms (issue intake, prioritization, defect metrics) and drive issues to root cause, corrective action, and verified closure.
- Define and track program-level KPIs (schedule health, build quality, defect trends, coverage, yield, reliability) and publish executive dashboards and weekly program reviews.
- Identify program risks, drive mitigation plans, and manage scope changes while proactively communicating status and decisions to stakeholders.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
Preferred Qualifications:
- Master’s degree in computer science/engineering, electrical engineering, or a related field.
- 8+ years of experience in systems or hardware engineering, hardware project lifecycle management, and technical product/program management.
- Experience with rack level systems and components.
- Proven experience collaborating with technical teams to develop systems, solutions, and products.
- Experience managing technical programs across cross-functional teams, establishing processes, and coordinating release schedules, and working in large, matrixed organizations.
- Demonstrated proficiency with Microsoft Office applications, SharePoint, JIRA/Confluence, and other defect-tracking tools.
- Persuasive communication, organizational, coordination, multi-tasking, and documentation skills.
- Experience with server technologies, including board design, SIPI, thermal and mechanical aspects, BIOS, BMC, and networking.
- Familiarity with Agile methods and practices.
- Experience working with CMs, OEMs, ODMs, and suppliers in product development.
- Strong cross-functional communication skills, with experience managing complex program lifecycles, building sustainable processes, and coordinating release schedules.
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:
$162,600.00 - $244,000.00
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 Group, Engineering Group > Hardware Engineering
General Summary:
The Qualcomm Data Center AI System Hardware and Validation Engineering team develops rack-level AI inference solutions for next-generation, liquid-cooled data centers. As the organization continues to grow, the team is seeking experienced Technical Leads to help deliver the next wave of innovative AI products.
As a System Hardware and Validation Technical Lead, you will partner with SoC, software/firmware, rack-level system design, and manufacturing teams. Collaborating closely with peer leads, you will ensure program activities are well planned, tracked, and executed against phase-gate milestones from concept through production.
- Lead execution for next-generation Qualcomm rack-scale designs within a matrixed organization spanning multiple teams and global sites.
- Define and manage requirements, scope, schedules, and deliverables in alignment with engineering teams, partners, and stakeholders.
- Own rack-level integration plans across compute nodes/accelerators, PCIe fabrics, networking, storage, power delivery, cooling, and rack management/telemetry.
- Drive firmware/software/hardware co-design execution, aligning BIOS/BMC/Redfish/telemetry requirements with hardware schedules and validation gates.
- Lead cross-functional design reviews and readiness reviews (architecture, schematic/layout, SI/PI, thermal, mechanical, firmware, manufacturing), and close actions to schedule.
- Coordinate platform-level debug and instrumentation (telemetry, logging, health monitoring) to accelerate failure analysis and improve observability.
- Establish and run triage mechanisms (issue intake, prioritization, defect metrics) and drive issues to root cause, corrective action, and verified closure.
- Define and track program-level KPIs (schedule health, build quality, defect trends, coverage, yield, reliability) and publish executive dashboards and weekly program reviews.
- Identify program risks, drive mitigation plans, and manage scope changes while proactively communicating status and decisions to stakeholders.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
Preferred Qualifications:
- Master’s degree in computer science/engineering, electrical engineering, or a related field.
- 8+ years of experience in systems or hardware engineering, hardware project lifecycle management, and technical product/program management.
- Experience with rack level systems and components.
- Proven experience collaborating with technical teams to develop systems, solutions, and products.
- Experience managing technical programs across cross-functional teams, establishing processes, and coordinating release schedules, and working in large, matrixed organizations.
- Demonstrated proficiency with Microsoft Office applications, SharePoint, JIRA/Confluence, and other defect-tracking tools.
- Persuasive communication, organizational, coordination, multi-tasking, and documentation skills.
- Experience with server technologies, including board design, SIPI, thermal and mechanical aspects, BIOS, BMC, and networking.
- Familiarity with Agile methods and practices.
- Experience working with CMs, OEMs, ODMs, and suppliers in product development.
- Strong cross-functional communication skills, with experience managing complex program lifecycles, building sustainable processes, and coordinating release schedules.
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:
$162,600.00 - $244,000.00
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 Data Engineer Jobs at Qualcomm
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs at Qualcomm.
Get Access To All JobsTips for Finding AI Data Engineer Jobs at Qualcomm
Align your portfolio to on-device AI
Qualcomm's AI Data Engineer roles center on edge inference and on-device machine learning pipelines, not just cloud-scale data work. Frame your resume and projects around low-latency data processing, model optimization datasets, or hardware-aware ML workflows before you apply.
Verify your LCA before accepting an offer
Before signing, confirm your employer has filed a certified Labor Condition Application with the DOL for your specific work location. Qualcomm's engineering teams are spread across multiple sites, and your LCA must match the office where you'll actually work.
Target teams sponsoring multiple visa categories
Use Migrate Mate to filter Qualcomm's AI Data Engineer openings by visa type, so you can identify which teams and roles explicitly support the pathway you need, whether that's H-1B, TN, or OPT extension, before investing time in applications.
Prepare your degree equivalency documentation early
Qualcomm's AI Data Engineer roles typically require a degree in computer science, data engineering, or a closely related field. If your credential is from outside the U.S., get a credential evaluation from a NACES-approved agency before your H-1B petition is filed to avoid USCIS RFEs.
Request premium processing at the offer stage
H-1B petitions can take months under regular processing. If you're transitioning off OPT or facing a status gap, ask your Qualcomm recruiter whether the team will elect USCIS premium processing, which reduces adjudication to 15 business days and eliminates most start-date uncertainty.
Understand Qualcomm's PERM timeline if you're planning ahead
Qualcomm sponsors EB-2 and EB-3 Green Cards, but the PERM labor certification process with the DOL takes a year or more before an I-140 petition can even be filed. Raise long-term immigration goals with your hiring manager early so the timeline doesn't catch you off guard.
Frequently Asked Questions
Does Qualcomm sponsor H-1B visas for AI Data Engineers?
Yes, Qualcomm sponsors H-1B visas for AI Data Engineer roles and has a consistent track record doing so. The company works with immigration counsel to file petitions, handle Labor Condition Applications with the DOL, and support premium processing requests. Sponsorship is tied to specific roles and headcount, so confirm the position includes sponsorship before advancing in the process.
How do I apply for AI Data Engineer jobs at Qualcomm?
Apply directly through Qualcomm's careers portal, where AI Data Engineer roles are posted with sponsorship details. You can also browse and filter Qualcomm's open AI Data Engineer positions by visa type on Migrate Mate, which makes it easier to identify roles that match your specific immigration situation before you apply.
Which visa types does Qualcomm commonly use for AI Data Engineers?
Qualcomm sponsors H-1B and H-1B1 visas for AI Data Engineers as the primary nonimmigrant pathways. F-1 OPT and CPT are supported for students and recent graduates, and TN visa status is available for Canadian and Mexican nationals in qualifying roles. For long-term immigration, Qualcomm also sponsors EB-2 and EB-3 Green Card petitions for this function.
What qualifications does Qualcomm expect for AI Data Engineer roles?
Qualcomm's AI Data Engineer positions typically require a bachelor's or master's degree in computer science, data engineering, or a related field, plus hands-on experience building data pipelines for machine learning systems. Familiarity with on-device or edge AI frameworks is a differentiator given Qualcomm's product focus. Strong candidates also bring experience with large-scale data infrastructure and experience collaborating with applied ML teams.
How long does the visa sponsorship process take for an AI Data Engineer at Qualcomm?
Timeline depends on the visa category. H-1B regular processing with USCIS takes three to six months after filing, while premium processing reduces that to 15 business days. If you're on OPT, your employer needs to file before your OPT expires to maintain work authorization. Green Card sponsorship through PERM typically takes two or more years from initiation to I-140 approval, not counting priority date wait times.