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Senior Software Quality Assurance Engineer Jobs

Dexcom

Sr Software QA Engineer

... Quality Assurance, R&D, Clinical, and Process Engineering to support the investigation, documentation, and resolution of software- and device-related postmarket issues. * You will drive the ...

Parsons

Parsons is looking for an exceptionally talented Senior Software Quality Assurance Engineer to join our team! In this pivotal role, you will lead the definition, evolution, and continuous improvement ...

IBML

Software QA Engineer

Birmingham, AL · On-site

PURPOSE The Software QA Engineer is responsible for validating software quality through test planning, test execution, defect tracking, release verification, and data validation. This role works ...

Hudson Data LLC

Software QA Engineer

Geneva, NY · On-site

Hudson Data LLC is looking for a Software QA Engineer to join their team. The role involves designing test scenarios, planning test strategies, and executing complex SQL queries to validate test ...

AutoStore

Software QA Engineer

Atlanta, GA · On-site

This is a hands-on software quality assurance role in our engineering organization, with the title of Software QA Engineer, Supervisory Control Platform. This role is accountable for validating ...

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Senior Software Quality Assurance Engineer information

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$21.5K

$124.1K

$189K

How much do senior software quality assurance engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior software quality assurance engineer in the United States is $124,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a senior software quality assurance engineer do?

A Senior Software Quality Assurance (QA) Engineer is responsible for ensuring that software products meet high standards of quality before they are released. They design and implement test plans, identify defects, and collaborate with developers to resolve issues. Senior QA Engineers often mentor junior team members and help develop best practices for testing processes. Their goal is to deliver reliable, bug-free software that meets user requirements.

What are the key skills and qualifications needed to thrive as a senior software quality assurance engineer, and why are they important?

To thrive as a Senior Software Quality Assurance Engineer, you need a solid background in software testing methodologies, programming or scripting languages, and a relevant degree or certifications such as ISTQB. Familiarity with automated testing tools (like Selenium or JMeter), defect tracking systems (such as Jira), and CI/CD pipelines is typically required. Analytical thinking, strong communication, and attention to detail are crucial soft skills for identifying issues and collaborating across teams. These capabilities ensure the delivery of high-quality, reliable software products and efficient resolution of complex quality challenges.

What are some common challenges faced by senior software quality assurance engineers, and how can they be addressed?

Senior Software Quality Assurance Engineers often encounter challenges such as managing complex testing environments, ensuring comprehensive test coverage under tight deadlines, and staying updated with rapidly evolving technologies. Addressing these challenges typically involves strong collaboration with development teams, effective use of automation tools, and prioritizing test cases based on risk. Proactively communicating with stakeholders and continuously improving testing processes can also help in overcoming these obstacles and ensuring high-quality software releases.

What is the difference between Senior Software Quality Assurance Engineer vs Software Quality Assurance Engineer?

AspectSenior Software Quality Assurance EngineerSoftware Quality Assurance Engineer
CertificationsOften holds ISTQB, CSTE, or similar certificationsMay have basic certifications or none
ExperienceTypically 5+ years in QA rolesEntry to mid-level experience
ResponsibilitiesDesigns test strategies, mentors team, leads testing effortsExecutes test cases, reports bugs, supports testing
Work EnvironmentLeads testing projects, collaborates with developers and managersPerforms testing tasks under supervision

In summary, a Senior Software Quality Assurance Engineer has more experience, leadership responsibilities, and often holds advanced certifications compared to a Software Quality Assurance Engineer. They play a key role in planning and mentoring, while the QA Engineer focuses on executing tests and reporting issues.

What cities are hiring for Senior Software Quality Assurance Engineer jobs?

Cities with the most Senior Software Quality Assurance Engineer job openings:

What are the most commonly searched types of Software Quality Assurance Engineer jobs?

The most popular types of Software Quality Assurance Engineer jobs are:

What states have the most Senior Software Quality Assurance Engineer jobs?

States with the most job openings for Senior Software Quality Assurance Engineer jobs include:

Infographic showing various Senior Software Quality Assurance Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $124,124 per year, or $59.7 per hour.

Senior Software Quality Assurance Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is seeking a highly skilled QA Engineer to join our Workstation and Virtualization team. This is an outstanding opportunity to work with innovative technology and contribute to advancements in computer graphics, PC gaming, and accelerated computing. You will collaborate closely with customers, software engineers, and program managers to reproduce issues, perform root cause analyses, and validate defect resolutions, ensuring flawless product quality. Our ideal candidate will possess deep expertise in both Windows and Linux environments, extensive experience in optimizing virtualization platforms (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM), and strong proficiency in Python, C#, and C++. If you're passionate about solving challenging technical problems and developing powerful AI tools that enhance workflow efficiency, this role is perfect for you!
What You'll Be Doing:
  • Reproduce issues reported by OEMs, enterprise customers, and partners.
  • Collaborate with software developers, program managers, and customers to determine root causes, and verify defect fixes.
  • Validate NVIDIA products on customer-specific platforms and configurations to ensure compatibility and reliability.
  • Build Python, C#, and C++-based scripts and diagnostic tools aimed at increasing bug reproduction and troubleshooting efficiency.
  • Build AI-driven tools and technologies that improve workflow efficiency.

What We Need to See:
  • Bachelor's degree or Master's degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields.
  • 5+ years of industry experience, including at least 2 years in customer support or software/hardware testing.
  • Proficient in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM) and scripting/automation (Python, PowerShell, Bash).
  • Proven ability to troubleshoot and resolve complex hardware and software issues.
  • Solid knowledge of PC architecture, supercomputers, and computer clusters, including caches, buses, memory controllers, DMA, and related components.
  • Extensive experience building, configuring, and troubleshooting PCs and servers.
  • Hands-on experience with debugging tools, memory dump analysis, remote debugging and Windows performance tracing tools (e.g., ETW).
  • Knowledge of graphics technology such as DirectX (DX), OpenGL (OGL), Windows Display Driver Model (WDDM), CUDA, and OpenCL.
  • Willingness to work flexible hours as needed.

Ways to Stand Out from the Crowd:
  • Significant expertise in planning, installing, and optimizing virtualization environments (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM).
  • Strong working knowledge of Linux distributions (e.g., Red Hat, Ubuntu).
  • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 16, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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