Software Quality Engineer Jobs at NVIDIA with Visa Sponsorship
Software Quality Engineer roles at NVIDIA sit at the intersection of GPU architecture, AI infrastructure, and rigorous validation work. NVIDIA has a well-established process for sponsoring international engineers in this function, covering both nonimmigrant work visas and permanent residence pathways for qualified candidates.
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Get Access To All JobsNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What You'll Be Doing:
- Construct, enhance, and sustain automated test frameworks and pipelines for server firmware and software, ensuring exceptionally high standards.
- Build and optimize detailed test automation to expand coverage, efficiency, and reliability, with the goal of seamless execution.
- Develop OS/System-Level Automation and Test Automation software/scripting/etc.
- Use AI-powered tools to enable and implement CI/CD pipelines, optimize test execution, and drive scalable automation across workflows.
- Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.
- Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.
- Introduce new automation to improve code coverage and overall product quality; pinpoint gaps and support reaching near-100% automation objectives.
- Analyze logs and failures that may span Hardware (HW), Software (SW), and Firmware (FW) and propose debug and mitigation strategies.
What We Need to See:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 5+ years of hands-on experience in test development, firmware development, automation, or software engineering.
- Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.
- Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.
- Familiarity with Hardware/Software management (components/devices/peripherals, drivers, etc).
- OS: Administration Linux and Windows, Networking, Security, Imaging (Baremetal, VM, etc).
- Expertise in programming languages like Python, Bash, TCL, Perl, Powershell, JavaScript for tool development and automation.
- Comprehensive experience in server firmware and associated testing methods.
- Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Antigravity) and integrating them with MCP to test workflows.
- Passion for quality, automation, and innovation in a fast-paced, dynamic environment.
Ways to Stand Out from the Crowd:
- Experience driving diagnostics across rack-level or cluster-level deployments.
- Virtualization, Windows Hyper-V, KVM, K8's, Containerization, etc.
- Background in cloud-scale infrastructure and partner engagement.
- Experience with PyTest or related testing frameworks.
- Experience in developing modern Software Verification Systems.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 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.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What You'll Be Doing:
- Construct, enhance, and sustain automated test frameworks and pipelines for server firmware and software, ensuring exceptionally high standards.
- Build and optimize detailed test automation to expand coverage, efficiency, and reliability, with the goal of seamless execution.
- Develop OS/System-Level Automation and Test Automation software/scripting/etc.
- Use AI-powered tools to enable and implement CI/CD pipelines, optimize test execution, and drive scalable automation across workflows.
- Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.
- Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.
- Introduce new automation to improve code coverage and overall product quality; pinpoint gaps and support reaching near-100% automation objectives.
- Analyze logs and failures that may span Hardware (HW), Software (SW), and Firmware (FW) and propose debug and mitigation strategies.
What We Need to See:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 5+ years of hands-on experience in test development, firmware development, automation, or software engineering.
- Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.
- Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.
- Familiarity with Hardware/Software management (components/devices/peripherals, drivers, etc).
- OS: Administration Linux and Windows, Networking, Security, Imaging (Baremetal, VM, etc).
- Expertise in programming languages like Python, Bash, TCL, Perl, Powershell, JavaScript for tool development and automation.
- Comprehensive experience in server firmware and associated testing methods.
- Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Antigravity) and integrating them with MCP to test workflows.
- Passion for quality, automation, and innovation in a fast-paced, dynamic environment.
Ways to Stand Out from the Crowd:
- Experience driving diagnostics across rack-level or cluster-level deployments.
- Virtualization, Windows Hyper-V, KVM, K8's, Containerization, etc.
- Background in cloud-scale infrastructure and partner engagement.
- Experience with PyTest or related testing frameworks.
- Experience in developing modern Software Verification Systems.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 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.
See all 38+ Software Quality Engineer at NVIDIA jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Quality Engineer at NVIDIA roles.
Get Access To All JobsTips for Finding Software Quality Engineer Jobs at NVIDIA Jobs
Frame Your QA Experience Around GPU Validation
NVIDIA's quality engineering work spans hardware-software co-validation for GPU and AI accelerator platforms. Tailor your resume to highlight experience with firmware testing, driver validation, or hardware-in-the-loop environments rather than generic software QA methodologies.
Target Teams Working on CUDA and AI Stacks
NVIDIA's quality roles cluster around specific product lines, including CUDA, GeForce, and data center platforms. Applying to postings tied to these teams signals domain fit and puts you in front of hiring managers who regularly work with sponsored engineers.
Verify Your Degree Field Supports Specialty Occupation Classification
H-1B approval for Software Quality Engineers depends on USCIS confirming your role qualifies as a specialty occupation. A degree in computer science, electrical engineering, or computer engineering directly supports this classification. A general business or unrelated technical degree creates risk at the petition stage.
Clarify Sponsorship Scope Before Signing an Offer
NVIDIA sponsors both H-1B and E-3 visas depending on your nationality, and separately supports PERM-based Green Card filings for certain roles. Confirm during the offer stage which pathways apply to your situation so there are no gaps after your start date.
Account for LCA Timelines When Negotiating Your Start Date
Before NVIDIA can file your H-1B or E-3 petition, the DOL must certify a Labor Condition Application. This process typically takes one to seven business days but can run longer. Build that window into your start date negotiation to avoid status gaps.
Use Migrate Mate to Filter Open Roles by Visa Type
NVIDIA posts Software Quality Engineer openings across multiple teams and locations at any given time. Use Migrate Mate to filter current openings by the visa types NVIDIA sponsors for this function so you can apply directly to roles where your authorization pathway is already supported.
Software Quality Engineer at NVIDIA jobs are hiring across the US. Find yours.
Find Software Quality Engineer at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Quality Engineers?
Yes, NVIDIA sponsors H-1B visas for Software Quality Engineers. The company has a dedicated immigration team that manages the full petition process, including the DOL Labor Condition Application and USCIS filing. If you're subject to the H-1B cap, NVIDIA will typically register you in the annual lottery. Roles in GPU validation, driver QA, and AI infrastructure testing are among those regularly supported through this pathway.
How do I apply for Software Quality Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal. Search for Software Quality Engineer postings and filter by team or product area to find roles aligned with your background. You can also browse verified sponsorship-eligible openings on Migrate Mate, which surfaces NVIDIA's current Software Quality Engineer postings filtered by the visa types the company supports for this function.
Which visa types does NVIDIA use for Software Quality Engineers?
NVIDIA sponsors H-1B visas for most international Software Quality Engineers. Australian citizens are eligible for the E-3 visa, which has no lottery and allows two-year renewable status. For longer-term pathways, NVIDIA also supports EB-2 and EB-3 immigrant visa petitions through the PERM labor certification process, which is typically initiated after an employee has been with the company for a period of time.
What qualifications does NVIDIA expect for Software Quality Engineer roles?
Most NVIDIA Software Quality Engineer postings require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. On the technical side, experience with scripting languages such as Python, familiarity with CI/CD pipelines, and exposure to hardware-software co-testing environments are commonly listed. Roles tied to AI infrastructure or GPU platforms often expect hands-on experience with CUDA or parallel computing validation workflows.
How long does the visa sponsorship process take for a Software Quality Engineer at NVIDIA?
For H-1B, the timeline depends on lottery selection in April and a standard October 1 start date, though premium processing can reduce USCIS adjudication to around 15 business days after filing. E-3 applicants interviewing at Australian consulates are typically looking at a two to eight week window depending on the consulate and current appointment availability. PERM-based Green Card filings run significantly longer, often spanning one to three years from initiation to approval.
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