Data Analytics Engineer Jobs at Qualcomm with Visa Sponsorship
Data Analytics Engineer jobs at Qualcomm span product lines across mobile, automotive, and connected devices. The company has a consistent track record of sponsoring international engineers in data roles, supporting candidates through H-1B visa, OPT, and Green Card pathways from early hiring stages.
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Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > SoC Architecture
General Summary:
As a CPU Performance Analysis Engineer, you will be working on CPU performance analysis and tuning, projecting CPU roadmap performance, workload characterization and thread-level behavioral modeling, workload tracing, and performing competitive performance analysis using industry standard benchmarks and workloads.
Roles and Responsibilities
- Collect CPU performance data for various workloads and benchmarks
- Conduct detailed workload characterization on silicon and performance simulators
- Profile workload execution and develop single-threaded and multi-threaded behavior models of industry standard benchmarks
- Develop tools and techniques to project SOC benchmark performance using CPU performance simulator and analytical characterization models
- Prepare benchmark projections for roadmap and competitive CPU / SOC comparison and analysis
- Build competitive performance prediction models
- Present the competitive performance data in a concise manner
Minimum Skills/Experience
- Strong grasp of computer architecture and OS fundamentals
- Strong scripting skills - Bash / Perl / Python
- Proficiency in C / C++ / x86, ARM compatible assembly language
- Familiarity with CPU performance models
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Electrical Engineering, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- 2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands).
Preferred Qualifications:
- Master’s degree or PhD in Electrical Engineering, Computer Engineering / Science with 10+ years of relevant work experience
- Experience with hardware performance profiling tools (such as Vtune, perf), binary instrumentation tools (such as DynamoRio, PIN)
- Experience with characterizing industry standard benchmarks (e.g. CPU2017, GeekBench, AnTuTu, Speedometer) and workloads such as Memcached, NGINX, Redis, DCPerf
- Experience in writing micro-benchmarks to measure performance characteristics of a CPU / SoC
- Prior experience in developing trace collection tools and using same to trace workloads to feed the CPU performance simulators
- Experience with CPU performance simulators / analytical models
- Experience in OS internals (Windows / Linux / Android), system programming and Compilers (GCC, LLVM, JIT)
- Knowledge of the competitive landscape, feature specifications and industry trends in the server and client domain
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:
$167,000.00 - $250,600.00
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 > SoC Architecture
General Summary:
As a CPU Performance Analysis Engineer, you will be working on CPU performance analysis and tuning, projecting CPU roadmap performance, workload characterization and thread-level behavioral modeling, workload tracing, and performing competitive performance analysis using industry standard benchmarks and workloads.
Roles and Responsibilities
- Collect CPU performance data for various workloads and benchmarks
- Conduct detailed workload characterization on silicon and performance simulators
- Profile workload execution and develop single-threaded and multi-threaded behavior models of industry standard benchmarks
- Develop tools and techniques to project SOC benchmark performance using CPU performance simulator and analytical characterization models
- Prepare benchmark projections for roadmap and competitive CPU / SOC comparison and analysis
- Build competitive performance prediction models
- Present the competitive performance data in a concise manner
Minimum Skills/Experience
- Strong grasp of computer architecture and OS fundamentals
- Strong scripting skills - Bash / Perl / Python
- Proficiency in C / C++ / x86, ARM compatible assembly language
- Familiarity with CPU performance models
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Electrical Engineering, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- 2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands).
Preferred Qualifications:
- Master’s degree or PhD in Electrical Engineering, Computer Engineering / Science with 10+ years of relevant work experience
- Experience with hardware performance profiling tools (such as Vtune, perf), binary instrumentation tools (such as DynamoRio, PIN)
- Experience with characterizing industry standard benchmarks (e.g. CPU2017, GeekBench, AnTuTu, Speedometer) and workloads such as Memcached, NGINX, Redis, DCPerf
- Experience in writing micro-benchmarks to measure performance characteristics of a CPU / SoC
- Prior experience in developing trace collection tools and using same to trace workloads to feed the CPU performance simulators
- Experience with CPU performance simulators / analytical models
- Experience in OS internals (Windows / Linux / Android), system programming and Compilers (GCC, LLVM, JIT)
- Knowledge of the competitive landscape, feature specifications and industry trends in the server and client domain
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:
$167,000.00 - $250,600.00
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 Data Analytics Engineer Jobs at Qualcomm
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Qualcomm.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Qualcomm
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.
Frequently 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 visa for Chilean and Singaporean nationals, TN visa 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.