Technical Solutions Engineer Jobs in USA with Visa Sponsorship
Technical Solutions Engineers sit at the intersection of software and customer success, making them strong H-1B candidates. Employers regularly sponsor this role because it requires a specialized degree in computer science, engineering, or a related field, and demand consistently outpaces the domestic talent pool. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 6 years of experience with two or more of the following: web technology, data/big data, systems administration, machine learning, networking, kubernetes.
- Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C, or C++) including data structures and algorithms, and software design.
- Experience with AI model training, performance analysis, and integration with other cloud services supporting customer projects to completion.
- Experience in computer networking (e.g., firewalls, routing, load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.), and AI concepts and techniques.
PREFERRED QUALIFICATIONS:
- 9 years of experience in recommendation systems, natural language processing, speech recognition, or computer vision.
- Experience troubleshooting ML models (e.g., TensorFlow, Keras, PyTorch).
- Experience working with public cloud services and infrastructure, AI architecture, and networking/peering with private cloud.
- Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, etc.).
- Ability to recommend ML best practices for practical business use.
- Ability to lead the design and implementation of AI-based solutions, web services, debugging tools with effective leadership and influencing skills in AI/ML application.
ABOUT THE JOB
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Technical Solutions Engineer, you will own important customer issues and provide level two support to other support teams. In this role, you will be part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.
You will troubleshoot technical problems for customers using a mix of debugging, networking, system administration, updating documentation, and when needed, coding or scripting. You will make products easier to adopt and use by making improvements to the product, tools, processes, and documentation. As the Technical Solutions team is driven by customers, you will help drive the success of Google Cloud by understanding and advocating for customers’ issues.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $150,000-$218,000 + 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
- Collaborate with customers on ML deployments to resolve issues and achieve production, availability, and scale while partnering with product and engineering teams to improve products based on customer feedback.
- Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
- Develop an understanding of Google Cloud’s AI and ML products or solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues and building tools for faster diagnosis.
- Serve as a consultant and SME for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Work as part of a team of engineers or consultants that ensure 24-hour customer support, including working non-standard work hours or shifts and possibly including weekends.
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.
INTRODUCTION
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 6 years of experience with two or more of the following: web technology, data/big data, systems administration, machine learning, networking, kubernetes.
- Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C, or C++) including data structures and algorithms, and software design.
- Experience with AI model training, performance analysis, and integration with other cloud services supporting customer projects to completion.
- Experience in computer networking (e.g., firewalls, routing, load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.), and AI concepts and techniques.
PREFERRED QUALIFICATIONS:
- 9 years of experience in recommendation systems, natural language processing, speech recognition, or computer vision.
- Experience troubleshooting ML models (e.g., TensorFlow, Keras, PyTorch).
- Experience working with public cloud services and infrastructure, AI architecture, and networking/peering with private cloud.
- Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, etc.).
- Ability to recommend ML best practices for practical business use.
- Ability to lead the design and implementation of AI-based solutions, web services, debugging tools with effective leadership and influencing skills in AI/ML application.
ABOUT THE JOB
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Technical Solutions Engineer, you will own important customer issues and provide level two support to other support teams. In this role, you will be part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.
You will troubleshoot technical problems for customers using a mix of debugging, networking, system administration, updating documentation, and when needed, coding or scripting. You will make products easier to adopt and use by making improvements to the product, tools, processes, and documentation. As the Technical Solutions team is driven by customers, you will help drive the success of Google Cloud by understanding and advocating for customers’ issues.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $150,000-$218,000 + 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
- Collaborate with customers on ML deployments to resolve issues and achieve production, availability, and scale while partnering with product and engineering teams to improve products based on customer feedback.
- Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
- Develop an understanding of Google Cloud’s AI and ML products or solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues and building tools for faster diagnosis.
- Serve as a consultant and SME for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Work as part of a team of engineers or consultants that ensure 24-hour customer support, including working non-standard work hours or shifts and possibly including weekends.
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.
How to Get Visa Sponsorship as a Technical Solutions Engineer
Frame your degree as a technical requirement, not a preference
Technical Solutions Engineer roles typically require a computer science, software engineering, or information systems degree. When applying, explicitly connect your degree field to the role's technical requirements. Employers who can articulate this connection file stronger LCA and H-1B petitions.
Target companies with established H-1B filing histories
Not all employers sponsor with equal frequency. Focus on mid-to-large technology and SaaS companies with dedicated HR and legal infrastructure. These employers already have immigration counsel on retainer and can move quickly once they extend an offer.
Highlight customer-facing technical depth, not just support experience
USCIS scrutinizes whether a role genuinely requires a specialized degree. Emphasize API integrations, solution architecture contributions, and technical implementation work. Generic customer support language weakens the specialty occupation argument and can invite a Request for Evidence.
Understand the LCA prevailing wage before you negotiate
Your employer must file a Labor Condition Application certifying your pay meets the prevailing wage for your location and job code. Knowing this threshold in advance helps you negotiate informed compensation and avoids delays caused by LCA amendments after the offer is signed.
Start the sponsorship conversation early in the interview process
Many employers will sponsor but hesitate if the topic surfaces late. Raise it after you have demonstrated value, ideally in a second-round conversation. Framing it as a straightforward H-1B transfer or new petition reduces perceived friction for the hiring manager.
Use OPT or STEM OPT as a bridge while building your employer relationship
If you are on F-1 status, OPT and STEM OPT extensions give you up to three years of authorized employment. Use this window to establish yourself as indispensable before the H-1B lottery window opens each March, improving your chances of a sponsored petition.
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Get Access To All JobsFrequently Asked Questions
Does a Technical Solutions Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS considers Technical Solutions Engineer a specialty occupation when the role demonstrably requires a bachelor's degree or higher in computer science, software engineering, information systems, or a closely related field. Petitions that document specific technical duties, such as solution architecture, API configuration, or enterprise software implementation, are generally approved without a Request for Evidence. Roles described primarily as customer support, without clear technical depth, face higher scrutiny.
Which visa categories are most commonly used to sponsor Technical Solutions Engineers?
The H-1B is the primary pathway, covering the large majority of sponsored Technical Solutions Engineer roles. Australians can pursue the E-3 visa, which has no lottery and a far shorter timeline. Canadians and Mexicans may qualify under the TN visa using the Computer Systems Analyst category. Candidates with extraordinary ability may also explore the O-1A, though that standard is significantly harder to meet for most mid-career professionals.
What degree do I need to get H-1B sponsorship as a Technical Solutions Engineer?
A bachelor's degree in computer science, software engineering, information systems, electrical engineering, or a closely related technical field is the standard requirement. Degrees in business, communications, or general management rarely support a successful specialty occupation argument for this role. If your degree field is adjacent, such as mathematics or physics, pairing it with technical coursework documentation and a detailed job duty description strengthens the petition. A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree.
How competitive is H-1B sponsorship for this role, and what are the approval odds?
The H-1B lottery selects approximately 20 to 25 percent of registrations in a typical year, so lottery selection is the primary bottleneck, not approval. Once selected, Technical Solutions Engineer petitions have strong approval rates because the role maps cleanly to specialty occupation criteria when documented well. Employers who file with experienced immigration counsel and detailed job duty letters see materially fewer Requests for Evidence. STEM OPT holders get two lottery entries in their first eligible year, improving selection odds.
Where can I find Technical Solutions Engineer jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates seeking U.S. visa sponsorship jobs, including Technical Solutions Engineer roles. Every listing on Migrate Mate is from an employer open to sponsorship, so you are not filtering through hundreds of postings that will not consider visa candidates. Browsing by role and visa type lets you identify which employers are actively hiring for your situation right now.
What is the prevailing wage requirement for sponsored Technical Solutions 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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