Senior Software Development Engineer In Test Jobs in USA with Visa Sponsorship
Senior Software Development Engineer in Test roles attract strong H-1B visa sponsorship from major tech employers. Your degree in computer science or software engineering is the foundation, and SDET experience in automation frameworks like Selenium or Cypress makes you a competitive candidate for U.S. visa sponsorship. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
We are looking for Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team!
As an engineer on this automation team, you will automate testbench independent test specification and execution workflows for worldwide chip validation teams running tests on silicon along with automation framework/infrastructure development. You will develop a system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA's GPUs connect to verify multiple designs/POR in many configurations those are sitting in automation farm or in cloud. You will continuously innovate and develop scalable, reliable, high performance systems and tools to enable the next generation of chips.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, Nvidia turnkey systems and OEM systems.
- Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamlining operations for more efficient and accurate results.
- Improve code coverage, elevating the overall quality of our codebase and reliability of our testing processes and develop roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment.
- Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in timely manner.
- Build and operate key pieces of a complete infrastructure for automation framework development, as well as, lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure.
- Focus on an efficient customer experience by improving both usability and ease to attain optimal performance.
- Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features.
- Work in a dynamic agile software development team with very high production quality standards.
BASIC QUALIFICATIONS
What we need to see:
- BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle.
- Solid understanding of embedded systems, Linux, Python, C and C++.
- Experience with cloud infrastructure is a big plus, particularly hands-on work with designing, deploying, and maintaining scalable systems on major cloud platforms. Familiarity with cloud-native architectures, automation, monitoring, security guidelines, and performance optimization in distributed environments will be highly valued.
- Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage.
- Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined.
- Solid understanding in QA methodology and pay attention to details.
- Knowledge in Cluster and cluster management.
- Experience in developing test strategies, high quality test plans and test execution.
- Proficient in building test setups and fine tuning in HW and SW along with hardware and software components that enable cloud computing services.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with cloud infrastructure is a big plus.
- Apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.
- Experience with Configuration and deployment management (Ansible), Containers (Docker) and Virtualization infrastructure software (Xen, KVM).
- Good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson).
- Background with parallel programming, ideally CUDA C/C++ and OpenACC.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
We are looking for Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team!
As an engineer on this automation team, you will automate testbench independent test specification and execution workflows for worldwide chip validation teams running tests on silicon along with automation framework/infrastructure development. You will develop a system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA's GPUs connect to verify multiple designs/POR in many configurations those are sitting in automation farm or in cloud. You will continuously innovate and develop scalable, reliable, high performance systems and tools to enable the next generation of chips.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, Nvidia turnkey systems and OEM systems.
- Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamlining operations for more efficient and accurate results.
- Improve code coverage, elevating the overall quality of our codebase and reliability of our testing processes and develop roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment.
- Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in timely manner.
- Build and operate key pieces of a complete infrastructure for automation framework development, as well as, lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure.
- Focus on an efficient customer experience by improving both usability and ease to attain optimal performance.
- Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features.
- Work in a dynamic agile software development team with very high production quality standards.
BASIC QUALIFICATIONS
What we need to see:
- BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle.
- Solid understanding of embedded systems, Linux, Python, C and C++.
- Experience with cloud infrastructure is a big plus, particularly hands-on work with designing, deploying, and maintaining scalable systems on major cloud platforms. Familiarity with cloud-native architectures, automation, monitoring, security guidelines, and performance optimization in distributed environments will be highly valued.
- Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage.
- Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined.
- Solid understanding in QA methodology and pay attention to details.
- Knowledge in Cluster and cluster management.
- Experience in developing test strategies, high quality test plans and test execution.
- Proficient in building test setups and fine tuning in HW and SW along with hardware and software components that enable cloud computing services.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with cloud infrastructure is a big plus.
- Apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.
- Experience with Configuration and deployment management (Ansible), Containers (Docker) and Virtualization infrastructure software (Xen, KVM).
- Good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson).
- Background with parallel programming, ideally CUDA C/C++ and OpenACC.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Get Access To All JobsTips for Finding Senior Software Development Engineer In Test Jobs
Target employers with a history of SDET sponsorship
Large tech companies and enterprise software firms file the most H-1B petitions for SDET roles. Focusing your applications on companies with established immigration programs significantly improves your odds of receiving a sponsorship offer.
Emphasize automation expertise in your application
Employers sponsoring SDETs need to demonstrate the role requires a specialized degree. Highlighting deep expertise in test automation frameworks, CI/CD pipelines, and performance engineering strengthens the specialty occupation case for your H-1B petition.
Ask about cap-exempt employer options
Universities, nonprofit research institutions, and certain government-affiliated organizations are exempt from the H-1B lottery. SDET roles exist at these institutions, and a cap-exempt petition can be filed any time of year with faster processing.
Prepare your degree equivalency documentation early
If your computer science degree is from a non-U.S. institution, get a credential evaluation from a NACES-approved agency before your employer files. A confirmed equivalency to a U.S. bachelor's degree removes a common H-1B petition obstacle.
Negotiate premium processing into your offer
Premium processing guarantees a USCIS decision within 15 business days for an additional fee paid by the employer. Requesting it upfront prevents months of uncertainty and lets you plan your start date and relocation with confidence.
Senior Software Development Engineer In Test jobs are hiring across the US. Find yours.
Find Senior Software Development Engineer In Test JobsFrequently Asked Questions
Does a Senior SDET role qualify as a specialty occupation for H-1B purposes?
Yes, Senior SDET positions consistently qualify as H-1B specialty occupations because they require at least a bachelor's degree in computer science, software engineering, or a closely related field. USCIS evaluates whether the degree requirement is standard for the position industry-wide. For senior-level SDET roles involving architecture-level test design and automation engineering, that standard is well established. Employers with strong documentation of degree requirements in job descriptions and internal standards have the highest approval rates.
Which visa types are most common for Senior SDET sponsorship?
The H-1B is by far the most common visa for Senior SDET roles. Australians may also qualify for the E-3 visa, which has no lottery and is easier to obtain. Canadians and Mexicans may qualify under the TN visa as computer systems analysts. L-1B intracompany transfers are another option if you're already working for a multinational employer abroad and transferring to a U.S. office.
What degree does an employer need to sponsor me for an SDET role?
Most employers require a bachelor's degree in computer science, software engineering, computer engineering, or information systems. Some accept degrees in related STEM fields if paired with strong automation experience. A three-year bachelor's degree from Australia or India is generally accepted as equivalent to a U.S. four-year degree for H-1B purposes, particularly when supported by a credential evaluation. Degrees in unrelated fields make sponsorship significantly harder to justify.
How competitive is H-1B sponsorship for SDET roles compared to other engineering positions?
SDET roles are sponsored at high volumes by major tech companies, so competition within the lottery is real. However, the specialty occupation case for SDETs is strong and well-understood by USCIS, meaning approval rates once selected are solid. The biggest variable is lottery selection, not petition approval. Targeting employers with cap-exempt status or those filing under the advanced degree exemption improves your chances of bypassing the general lottery pool.
Where can I find Senior SDET jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates seeking U.S. visa sponsorship and filters roles by sponsorship status, visa type, and employer track record. Browsing Senior SDET listings on Migrate Mate lets you identify which employers are actively sponsoring rather than cold-applying to companies that may not have established immigration programs, saving significant time in your job search.
What is the prevailing wage requirement for sponsored Senior Software Development Engineer In Test 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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