Integration Engineer Jobs in USA with Visa Sponsorship
Integration engineers build the data pipelines and API connections that power modern software systems. Most roles require a computer science, software engineering, or related technical degree and qualify for H-1B visa, E-3 visa, and TN visa sponsorship. Companies actively sponsor integration engineers because these specialized skills are in high demand. For detailed occupation requirements, see the O*NET profile.
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 5 years of silicon engineering experience.
- Experience designing or integrating analog PHY designs (e.g., PCIe, UCIe, or HBM PHYs).
- Experience with design integration flows and requirements.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 10 years of silicon engineering experience.
- Experience designing or integrating analog mixed signal designs (e.g., high speed IOs, sensors, PLLs, etc.).
- Experience writing design specifications.
- Experience coordinating designs through the entire silicon product lifecycle.
- Ability to coordinate execution across multiple cross-functional teams.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
You will be part of a silicon design team developing cutting-edge ASICs used to accelerate machine learning computation in data centers. You will help us push the boundaries of silicon interface technology. Your contributions will help shape future generations of data center ML accelerators.
As part of the TPU interface design team, you will play a pivotal role in pushing the boundaries of technology to improve the performance and power of our TPUs. You will drive the selection, integration, and execution of mixed signal IPs. In this highly cross-functional role, you will be tasked with specifying and meeting the technical requirements and coordinating all aspects of the IP integration across all phases of the silicon lifecycle. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive Mixed Signal IP selection and procurement.
- Own Mixed Signal IP planning and roadmap definition.
- Coordinate pre-silicon integration strategy of Mixed Signal IPs.
- Coordinate Mixed Signal IP implementation with cross-functional teams (e.g., Design, Verification, Physical Design, DFT, Post-Silicon).
- Assist in post silicon bring-up and validation of Mixed Signal IPs.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 5 years of silicon engineering experience.
- Experience designing or integrating analog PHY designs (e.g., PCIe, UCIe, or HBM PHYs).
- Experience with design integration flows and requirements.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 10 years of silicon engineering experience.
- Experience designing or integrating analog mixed signal designs (e.g., high speed IOs, sensors, PLLs, etc.).
- Experience writing design specifications.
- Experience coordinating designs through the entire silicon product lifecycle.
- Ability to coordinate execution across multiple cross-functional teams.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
You will be part of a silicon design team developing cutting-edge ASICs used to accelerate machine learning computation in data centers. You will help us push the boundaries of silicon interface technology. Your contributions will help shape future generations of data center ML accelerators.
As part of the TPU interface design team, you will play a pivotal role in pushing the boundaries of technology to improve the performance and power of our TPUs. You will drive the selection, integration, and execution of mixed signal IPs. In this highly cross-functional role, you will be tasked with specifying and meeting the technical requirements and coordinating all aspects of the IP integration across all phases of the silicon lifecycle. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive Mixed Signal IP selection and procurement.
- Own Mixed Signal IP planning and roadmap definition.
- Coordinate pre-silicon integration strategy of Mixed Signal IPs.
- Coordinate Mixed Signal IP implementation with cross-functional teams (e.g., Design, Verification, Physical Design, DFT, Post-Silicon).
- Assist in post silicon bring-up and validation of Mixed Signal IPs.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Get Access To All JobsTips for Finding Visa Sponsorship as an Integration Engineer
Emphasize your technical integration experience
Highlight specific integration platforms like MuleSoft, Dell Boomi, or Informatica. Detail your experience with REST APIs, ETL processes, and data transformation. These specialized skills directly support H-1B specialty occupation requirements.
Target companies with complex data ecosystems
Focus on enterprises managing multiple software systems, financial services, healthcare, and large tech companies. These organizations have ongoing integration needs and frequently sponsor visas for technical roles like integration engineering.
Match your degree to the technical requirements
Computer science, software engineering, or information systems degrees align well with integration engineer roles. If your degree is in a different field, emphasize relevant coursework in databases, programming, or systems architecture.
Demonstrate knowledge of enterprise integration patterns
Show familiarity with message queuing, event-driven architecture, and microservices integration. These concepts appear frequently in job descriptions and demonstrate the specialized knowledge required for visa approval.
Apply to companies with established integration teams
Organizations with dedicated integration or middleware teams are more likely to understand the role's complexity and sponsor visas. Look for job postings mentioning integration architects or data integration specialists.
Highlight experience with cloud integration platforms
Azure Integration Services, AWS Lambda, and Google Cloud Pub/Sub experience is valuable. Many companies are migrating to cloud-based integration solutions and need engineers familiar with these modern platforms.
Integration Engineer jobs are hiring across the US. Find yours.
Find Integration Engineer JobsFrequently Asked Questions
Do integration engineer roles qualify for H-1B visa sponsorship?
Yes, integration engineer positions typically qualify as specialty occupations under H-1B requirements. The role requires specialized knowledge of integration platforms, API development, and data transformation processes that directly relate to computer science or software engineering degrees. USCIS generally approves these petitions when the job description emphasizes technical complexity.
What degree do I need for integration engineer visa sponsorship?
A bachelor's degree in computer science, software engineering, information systems, or related technical field is typically required. Some employers accept degrees in mathematics or engineering with relevant programming coursework. The key is demonstrating that your educational background directly relates to integration technologies and software development principles.
Which companies sponsor integration engineers for work visas?
Large enterprises with complex IT infrastructures frequently sponsor integration engineers, including financial services firms, healthcare systems, and technology companies. Consulting firms like Accenture, Deloitte, and IBM also sponsor these roles. Companies using enterprise integration platforms like SAP, Oracle, or Salesforce often have ongoing sponsorship needs.
How to find Integration Engineer jobs with visa sponsorship?
To find Integration Engineer jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus on tech companies, software firms, and enterprise organizations that frequently hire Integration Engineers for H-1B, L-1, or O-1 visas. These roles are in high demand at companies implementing APIs, middleware solutions, and system integrations.
Can integration engineers get TN visa sponsorship?
Canadian and Mexican citizens can potentially qualify for TN visas as Computer Systems Analysts if their integration role focuses on systems analysis and design. The job description must emphasize analyzing business requirements and designing integration solutions rather than just coding or maintenance. The role needs to align with the professional-level requirements of the TN category.
What makes an integration engineer petition stronger for visa approval?
Emphasize the specialized nature of integration work in the petition, including specific platforms, protocols, and methodologies used. Document the complexity of data transformations, API management, and enterprise architecture decisions required. Include details about integration with multiple systems and the technical expertise needed to troubleshoot complex data flow issues.
What is the prevailing wage requirement for sponsored Integration Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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