STEM OPT Data Analytics Engineer Jobs
Data Analytics Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months post-graduation when your employer is enrolled in E-Verify. Your STEM degree in computer science, statistics, or a related field unlocks the 24-month extension, giving you a realistic runway to transition to long-term sponsorship.
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Job Description:
The Role and Impact
The Thermal Engineer will drive thermal design and analysis for GPU, AI accelerators, and data center products through both simulation and hands-on experimental work. This role supports the development of high-performance computing solutions by ensuring thermal requirements are met across silicon, package, and platform levels. The engineer will contribute to thermal performance optimization, laboratory testing, and the development of innovative thermal characterization methodologies for next-generation computing products.
Key Responsibilities
Thermal Design and Analysis
- Support the development of packaging thermal solutions for GPU and AI products.
- Develop thermal design strategies for advanced packaging technologies, including chiplets and multi-chip modules.
- Perform thermal, electrical, and mechanical co-design optimization activities.
- Conduct thermal simulations and analyses to support product development and performance objectives.
Laboratory and Experimental Work
- Design and execute experiments to characterize thermal performance from advanced package to system-level cooling solutions.
- Develop innovative thermal metrology techniques for next-generation thermal management solutions, including two-phase cooling systems and microchannel heat spreaders.
- Correlate experimental data with simulation results to improve predictive modeling accuracy.
- Support the development and validation of thermal characterization methodologies and test plans.
Cross-Functional Collaboration
- Partner with silicon design, packaging, platform, and system engineering teams to ensure thermal compliance and performance targets are achieved.
- Collaborate across engineering disciplines to optimize thermal solutions for advanced computing products.
- Engage with external customers and ecosystem partners to align thermal solutions with product requirements and industry needs.
- Communicate technical findings and recommendations to stakeholders across multiple organizations.
Behavioral Skills
- Strong analytical and problem-solving skills with the ability to evaluate complex technical challenges and develop effective solutions.
- Ability to work effectively in cross-functional and multidisciplinary teams.
- Strong verbal and written communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical audiences.
- Ability to translate simulation results, experimental findings, and technical analyses into actionable design recommendations.
- Demonstrated ability to manage multiple priorities and work effectively in a fast-paced environment.
- Strong attention to detail and commitment to technical excellence.
- Self-motivated with the ability to work independently while contributing to team objectives.
- Demonstrated collaboration and stakeholder management skills when working with internal and external partners.
Qualifications
Minimum Qualifications
- PhD in Mechanical Engineering, Thermal Sciences, Aerospace Engineering, Chemical Engineering, or a related technical field; OR a Master's degree in one of these disciplines with 2+ years of experience in thermal engineering, thermal sciences, or a related field.
- 2+ years of experience using thermal simulation tools such as Computational Fluid Dynamics (CFD) and/or Finite Element Analysis (FEA) OR
- 2+ years of experience performing thermal characterization, validation, and experimental testing in a laboratory environment OR
- 2+ years of experience applying heat transfer principles to thermal management solutions for electronic, semiconductor, data center, or high-performance computing products.
Preferred Qualifications
- 2+ years of experience supporting semiconductor, GPU, AI accelerator, server, or high-performance computing products.
- Experience with advanced cooling technologies such as immersion cooling, two-phase cooling, microchannel cooling, or liquid cooling solutions.
- Experience developing thermal metrology and measurement techniques.
- Experience with thermal instrumentation and data acquisition systems, including thermocouples, infrared cameras, flow meters, and related equipment.
- Experience correlating simulation results with experimental data.
- Experience with prototype development and rapid testing methodologies.
- Familiarity with statistical analysis and experimental data processing.
- Understanding of power electronics and energy efficiency concepts.
- Experience translating experimental results into thermal design recommendations.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Business Group
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $164,470.00 - 232,190.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION:
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Job Details
Job Description:
The Role and Impact
The Thermal Engineer will drive thermal design and analysis for GPU, AI accelerators, and data center products through both simulation and hands-on experimental work. This role supports the development of high-performance computing solutions by ensuring thermal requirements are met across silicon, package, and platform levels. The engineer will contribute to thermal performance optimization, laboratory testing, and the development of innovative thermal characterization methodologies for next-generation computing products.
Key Responsibilities
Thermal Design and Analysis
- Support the development of packaging thermal solutions for GPU and AI products.
- Develop thermal design strategies for advanced packaging technologies, including chiplets and multi-chip modules.
- Perform thermal, electrical, and mechanical co-design optimization activities.
- Conduct thermal simulations and analyses to support product development and performance objectives.
Laboratory and Experimental Work
- Design and execute experiments to characterize thermal performance from advanced package to system-level cooling solutions.
- Develop innovative thermal metrology techniques for next-generation thermal management solutions, including two-phase cooling systems and microchannel heat spreaders.
- Correlate experimental data with simulation results to improve predictive modeling accuracy.
- Support the development and validation of thermal characterization methodologies and test plans.
Cross-Functional Collaboration
- Partner with silicon design, packaging, platform, and system engineering teams to ensure thermal compliance and performance targets are achieved.
- Collaborate across engineering disciplines to optimize thermal solutions for advanced computing products.
- Engage with external customers and ecosystem partners to align thermal solutions with product requirements and industry needs.
- Communicate technical findings and recommendations to stakeholders across multiple organizations.
Behavioral Skills
- Strong analytical and problem-solving skills with the ability to evaluate complex technical challenges and develop effective solutions.
- Ability to work effectively in cross-functional and multidisciplinary teams.
- Strong verbal and written communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical audiences.
- Ability to translate simulation results, experimental findings, and technical analyses into actionable design recommendations.
- Demonstrated ability to manage multiple priorities and work effectively in a fast-paced environment.
- Strong attention to detail and commitment to technical excellence.
- Self-motivated with the ability to work independently while contributing to team objectives.
- Demonstrated collaboration and stakeholder management skills when working with internal and external partners.
Qualifications
Minimum Qualifications
- PhD in Mechanical Engineering, Thermal Sciences, Aerospace Engineering, Chemical Engineering, or a related technical field; OR a Master's degree in one of these disciplines with 2+ years of experience in thermal engineering, thermal sciences, or a related field.
- 2+ years of experience using thermal simulation tools such as Computational Fluid Dynamics (CFD) and/or Finite Element Analysis (FEA) OR
- 2+ years of experience performing thermal characterization, validation, and experimental testing in a laboratory environment OR
- 2+ years of experience applying heat transfer principles to thermal management solutions for electronic, semiconductor, data center, or high-performance computing products.
Preferred Qualifications
- 2+ years of experience supporting semiconductor, GPU, AI accelerator, server, or high-performance computing products.
- Experience with advanced cooling technologies such as immersion cooling, two-phase cooling, microchannel cooling, or liquid cooling solutions.
- Experience developing thermal metrology and measurement techniques.
- Experience with thermal instrumentation and data acquisition systems, including thermocouples, infrared cameras, flow meters, and related equipment.
- Experience correlating simulation results with experimental data.
- Experience with prototype development and rapid testing methodologies.
- Familiarity with statistical analysis and experimental data processing.
- Understanding of power electronics and energy efficiency concepts.
- Experience translating experimental results into thermal design recommendations.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Business Group
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $164,470.00 - 232,190.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION:
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
See all 2,900+ STEM OPT Data Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Analytics Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Analytics Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to an approved STEM field on the official STEM OPT designated degree program list. Data science, computer science, and statistics CIP codes all qualify, but some interdisciplinary programs do not.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for the company's E-Verify employer identification number before signing anything. An employer that isn't enrolled can't legally employ you on STEM OPT, and switching roles mid-extension restarts your I-983 training plan clock.
Target employers with active H-1B filing history
Search Migrate Mate to filter Data Analytics Engineer roles by employers who have filed H-1B visa petitions, giving you a clear signal they're set up for long-term sponsorship before you invest time in their interview process.
Build your I-983 training plan around analytics deliverables
Draft measurable learning objectives tied to specific tools and outcomes, such as building a production data pipeline or completing an A/B testing framework. USCIS reviewers expect concrete, role-specific goals, not generic descriptions of analytics work.
Benchmark your offer against DOL prevailing wages
Use the OFLC Wage Search to look up the Level I through Level IV wage for Data Analytics Engineer roles in your target metro. Accepting below the applicable prevailing wage can jeopardize your employer's ability to file an LCA if they sponsor you for H-1B later.
Understand cap-gap protection if H-1B is filed
If your employer files an H-1B petition before your OPT expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30. You can keep working your Data Analytics Engineer role uninterrupted while USCIS adjudicates the petition.
Frequently Asked Questions
Does a Data Analytics Engineer role qualify for the STEM OPT extension?
Yes, as long as your degree is in an approved STEM field such as computer science, statistics, mathematics, or information systems. The role itself must also be directly related to that degree. Check the O*NET profile for Data Analytics Engineer to confirm the educational alignment USCIS expects, and verify your program's CIP code against the official STEM designated degree list before filing.
How do I confirm an employer is enrolled in E-Verify before I start?
Ask the recruiter or HR contact for the company's E-Verify employer identification number during the offer stage, not after you've signed. You can also search the public E-Verify employer search tool by company name to confirm current enrollment status. If the employer isn't enrolled, they cannot legally employ you on STEM OPT, and your DSO cannot authorize the extension.
What should my I-983 training plan include for a Data Analytics Engineer position?
Your I-983 must list specific, measurable goals tied directly to your STEM degree and the Data Analytics Engineer role. Concrete examples include building and maintaining data pipelines, developing predictive models, or leading A/B test analyses. Vague descriptions of general analytics duties are the most common reason DSOs send training plans back for revision, so tie each goal to a tool, methodology, or deliverable.
Can cap-gap protect my work authorization if my employer sponsors me for H-1B?
Yes. If your employer files an H-1B petition before your OPT EAD expires and USCIS selects you in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. You can continue working as a Data Analytics Engineer without interruption during the adjudication period. Your DSO will issue an updated I-20 reflecting the cap-gap extension once the petition is accepted.
Where can I find Data Analytics Engineer jobs with E-Verify employers?
Migrate Mate filters Data Analytics Engineer roles specifically for STEM OPT students, showing only employers already enrolled in E-Verify. You can also see each employer's H-1B filing history directly in the listing, so you know before applying whether a company has a track record of long-term sponsorship rather than discovering that gap after an offer.