Data Analytics Engineer Jobs at Qualcomm with Visa Sponsorship
Qualcomm's data and analytics teams work across product lines spanning mobile, automotive, and connected devices. The company has a consistent track record of sponsoring international engineers in data roles, supporting candidates through H-1B, OPT, and Green Card pathways from early hiring stages.
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Get Access To All JobsINTRODUCTION
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
ROLE AND RESPONSIBILITIES
- Responsible for pre-silicon performance analysis and closure on state of art GPU design using trending graphic/compute/AI benchmarks. Work closely with design/arch/model teams on GPU pipeline bottleneck analysis and propose hw/sw optimizations to improve PPA.
- Contribute to pre-silicon execution with additional benchmark functional coverage.
- Virtual GPU bring-up using hardware accelerated emulation system to enable other sw/hw teams on pre-silicon functional execution.
- Analysis of performance and architectural bottlenecks in the GPU designs.
- Work with GPU Design and Architecture Teams to understand concepts and performance bottlenecks in GPU.
- Implement data analytics using Python.
- HW-SW co-verification, simulation, simulation-acceleration, emulation, benchmark analysis, big-data analytics are all tools in our verification toolbox you will use on a daily basis.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
PREFERRED QUALIFICATIONS
Overall 5+ years of experience:
- Experience with GPU Architectures and pipeline analysis.
- RTL design experience and/or very strong SoC architecture background.
- Experience with Simulation Acceleration and Emulation.
- Experience working with System Level Architecture Teams to understand Performance Requirements and Bottlenecks.
- Experience with SW and HW design partitioning.
- Experience with analyzing performance issues in Software and Hardware.
- Data analysis using Python and Data Visualization.
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.
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
$195,200.00 - $292,800.00. 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
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
ROLE AND RESPONSIBILITIES
- Responsible for pre-silicon performance analysis and closure on state of art GPU design using trending graphic/compute/AI benchmarks. Work closely with design/arch/model teams on GPU pipeline bottleneck analysis and propose hw/sw optimizations to improve PPA.
- Contribute to pre-silicon execution with additional benchmark functional coverage.
- Virtual GPU bring-up using hardware accelerated emulation system to enable other sw/hw teams on pre-silicon functional execution.
- Analysis of performance and architectural bottlenecks in the GPU designs.
- Work with GPU Design and Architecture Teams to understand concepts and performance bottlenecks in GPU.
- Implement data analytics using Python.
- HW-SW co-verification, simulation, simulation-acceleration, emulation, benchmark analysis, big-data analytics are all tools in our verification toolbox you will use on a daily basis.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
PREFERRED QUALIFICATIONS
Overall 5+ years of experience:
- Experience with GPU Architectures and pipeline analysis.
- RTL design experience and/or very strong SoC architecture background.
- Experience with Simulation Acceleration and Emulation.
- Experience working with System Level Architecture Teams to understand Performance Requirements and Bottlenecks.
- Experience with SW and HW design partitioning.
- Experience with analyzing performance issues in Software and Hardware.
- Data analysis using Python and Data Visualization.
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.
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
$195,200.00 - $292,800.00. 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 Data Analytics Engineer Jobs at Qualcomm Jobs
Align your portfolio to Qualcomm's data stack
Qualcomm's analytics roles frequently involve large-scale pipeline work, SQL optimization, and Python or Spark-based modeling. Build out portfolio projects that demonstrate experience with distributed data systems and product analytics, not just dashboard tooling.
Clarify your OPT timeline before applying
If you're on F-1 OPT, confirm your STEM extension eligibility before your first interview. Qualcomm uses E-Verify, which is required to authorize STEM OPT employment, so having your extension timeline clearly mapped reduces friction during offer negotiations.
Target business units with recurring analytics hiring
Qualcomm's semiconductor and connected devices divisions post data analytics roles more consistently than others. Filtering by business unit, not just job title, helps you identify teams that sponsor regularly and have established onboarding workflows for international hires.
Raise sponsorship intent early in recruiter screens
Qualcomm recruiters handle high application volumes across technical roles. Stating your visa status and sponsorship need in the first recruiter call, rather than waiting for the offer stage, prevents wasted interview rounds and signals that you understand the H-1B petition process.
Use Migrate Mate to filter verified sponsoring roles
Qualcomm posts data analytics openings across multiple job boards, but not all reflect active sponsorship intent. Use Migrate Mate to surface roles at Qualcomm verified through DOL Labor Condition Application filings, so you're targeting positions with a real sponsorship history.
Prepare for PERM requirements at the Green Card stage
If Qualcomm moves you toward an EB-2 or EB-3 Green Card, the PERM labor certification requires demonstrating that no qualified U.S. worker was available. Keep documentation of your specialized skills and any unique qualifications that differentiate your candidacy throughout the process.
Data Analytics Engineer at Qualcomm jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for Data Analytics Engineers?
Yes, Qualcomm sponsors H-1B visas for Data Analytics Engineers and has a documented history of filing petitions through the annual USCIS lottery. Because H-1B selection is subject to the annual cap and lottery, Qualcomm typically initiates the process well ahead of the April filing window. Candidates already on F-1 OPT or STEM OPT are often prioritized since they can begin work before H-1B status takes effect on October 1.
How do I apply for Data Analytics Engineer jobs at Qualcomm?
Applications go through Qualcomm's careers portal, where you can filter by role and location. Before applying, review the job description carefully for stack requirements like SQL, Python, Spark, or specific BI tools, since Qualcomm's analytics teams vary in their technical focus. Migrate Mate lists verified Data Analytics Engineer openings at Qualcomm filtered by sponsorship history, which helps you prioritize roles with an active track record over generic postings.
Which visa types does Qualcomm commonly use for Data Analytics Engineers?
Qualcomm sponsors a range of visa types for this function, including H-1B, H-1B1 for Chilean and Singaporean nationals, TN for Canadian and Mexican nationals, and F-1 OPT and CPT for students still in their academic program. For longer-term employment, Qualcomm also supports EB-2 and EB-3 Green Card petitions, which involve PERM labor certification filed with the Department of Labor before USCIS adjudicates the immigrant visa petition.
What qualifications does Qualcomm expect from Data Analytics Engineers?
Qualcomm's data analytics roles typically require a bachelor's or master's degree in computer science, statistics, data science, or a related engineering field. Hands-on experience with SQL, Python, and at least one cloud data platform is expected. Roles closer to the product or business intelligence side often add requirements around data visualization tools and cross-functional stakeholder communication, particularly within hardware or semiconductor product lines.
How do I manage my visa status during the hiring and onboarding timeline at Qualcomm?
If you're transitioning from F-1 OPT to H-1B, Qualcomm must file your H-1B petition in April for an October 1 start. If your OPT expires before October 1 and you have a STEM extension, you can bridge the gap with cap-gap protection under USCIS rules, which extends your work authorization automatically. Confirm your I-94 expiration date and OPT end date with Qualcomm's immigration team as early as possible to avoid authorization gaps during onboarding.
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