TN Visa Senior Software Development Engineer In Test Jobs
Senior Software Development Engineer In Test roles qualify for TN visa sponsorship under the USMCA treaty's Computer Systems Analyst category. Canadian citizens can enter at the border same-day; Mexican citizens apply at a U.S. consulate. Employers file a TN support letter confirming your degree and SDET scope before you travel.
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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 TN Visa Sponsorship as a Senior Software Development Engineer In Test
Align your credentials to Computer Systems Analyst
TN visa approval for SDET roles hinges on the Computer Systems Analyst category. Your degree must be in computer science, software engineering, or a closely related field. A generic IT or business degree without a technical concentration raises adjudication risk.
Document test architecture work in your resume
Border officers and consular officials scrutinize whether your role is genuinely analytical. Quantify your contributions to CI/CD pipeline design, test framework architecture, or quality strategy, not just script execution, so your duties map clearly to the category definition.
Target employers with active SDET hiring pipelines
Focus on companies that routinely hire SDET professionals across multiple teams, since they understand TN documentation requirements and can produce a compliant support letter quickly. Search Migrate Mate to find employers with TN visa sponsorship history in engineering roles.
Verify the employer support letter covers testing scope
The TN support letter must describe your specific SDET duties, not just your job title. Confirm it explicitly references test strategy, automation framework design, or systems analysis. A vague letter is the most common reason CBP requests additional documentation at the port of entry.
Prepare for Canadian border entry versus consular processing
As a Canadian citizen, you can apply for TN status directly at a U.S. land border or preclearance airport with your support letter, degree transcript, and offer letter in hand. Mexican citizens must schedule a consular interview, which adds two to four weeks to your timeline.
Negotiate TN renewal terms before accepting an offer
Each TN period lasts up to three years and renews indefinitely, but your employer must file a new support letter each cycle. Confirm during the offer stage that your employer will sponsor renewals and has a process for doing so before your status expires.
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Find Senior Software Development Engineer In Test JobsSenior Software Development Engineer In Test TN Visa: Frequently Asked Questions
Does a Senior SDET role qualify for TN visa status?
Yes, SDET roles typically qualify under the Computer Systems Analyst category. The key is that your duties must involve systems analysis, test architecture, and quality strategy rather than routine manual testing. Your job offer and support letter need to describe that analytical scope clearly so CBP or a consular officer can confirm the fit.
How does TN visa sponsorship for SDET roles compare to H-1B?
TN has no annual lottery and no cap for Canadian citizens, so you can start working as soon as CBP approves your entry, sometimes the same day you present your documents at the border. H-1B requires surviving a random lottery and waiting months. The tradeoff is that TN does not directly lead to permanent residency, while H-1B is a dual-intent visa.
What documents does my employer need to prepare for TN sponsorship?
Your employer must produce a signed support letter on company letterhead that states your job title, duties, your TN category, your qualifications, and the terms of employment including start date and duration. You bring that letter alongside your degree transcripts, passport, and a copy of your offer letter. The employer does not file anything with USCIS for Canadian TN applicants.
Where can I find SDET jobs that offer TN visa sponsorship?
Most general job boards don't filter by visa type, which makes it hard to identify employers genuinely open to TN sponsorship. Migrate Mate is built specifically for this: you can search SDET roles and filter for companies with TN visa sponsorship history, so you're not cold-applying to employers unfamiliar with the process.
Can I switch employers while on TN status as an SDET?
Yes, but your TN status is tied to your current employer. Before you start with a new company, they need to sponsor a fresh TN, either at a port of entry if you're Canadian or through a consular appointment if you're Mexican. Working for a new employer before that approval is in place puts your status at risk.
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